Head-to-head comparison

Muse Wonder vs. GLM-5.3-Flash

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series: 162
distinct benchmarks: 16
latest retrieval: 2026-10-15

First modelSecond model

Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Muse Wonder and GLM-5.3-Flash
Attribute	Muse Wonder	GLM-5.3-Flash
Provider	Meta	Z.ai
Released	Oct 12, 2026	Aug 26, 2026
Availability	Preview	Open Source
Model type	Proprietary	Open Weights
Parameters	Not published	320B, 18B active
Architecture	Not published	Mixture of Experts
Context window	1,048,576 tokens	1,000,000 tokens
Knowledge cutoff	Not published	Not published
Technical sources	Model, Context	Model, Context

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Muse Wonder and GLM-5.3-Flash
Price type	Muse Wonder	GLM-5.3-Flash
API input	$4	$0.15
API output	$20	$0.5
Cache read	$0.2	$0.03
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	10/15/2026 Source	09/22/2026 Source

Muse WonderGLM-5.3-Flash

API inputUSD per 1M tokens, base tier

Muse Wonder$4

GLM-5.3-Flash$0.15

API outputUSD per 1M tokens, base tier

Muse Wonder$20

GLM-5.3-Flash$0.5

Cache readUSD per 1M tokens, base tier

Muse Wonder$0.2

GLM-5.3-Flash$0.03

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

No provider tariff for Muse Wonder is available in the stored OpenRouter snapshot. The official direct price is still shown.

Provider pricing for Muse Wonder and GLM-5.3-Flash
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Muse Wonder	Meta	Direct from developerStandard API	Lowest listed price: $4	Lowest listed price: $20	Source10/15/2026
GLM-5.3-Flash	Z.ai	Direct from developerStandard API	$0.15	$0.5	Source09/22/2026
	AtlasCloud	Via OpenRouteratlas-cloud/fp8	$0.15	$0.5	Source10/16/2026
	BaseTen	Via OpenRouterbaseten/fp8	$0.15	$0.5	Source10/16/2026
	BaseTen	Via OpenRouterbaseten/fp8/us	$0.15	$0.5	Source10/16/2026
	CoreWeave	Via OpenRoutercoreweave/nvfp4	$0.15	$0.5	Source10/16/2026
	Crusoe	Via OpenRoutercrusoe/fp4	$0.15	$0.5	Source10/16/2026
	Decart	Via OpenRouterdecart/fp4	$0.093	$0.31	Source10/16/2026
	DeepInfra	Via OpenRouterdeepinfra/fp4	$0.075	$0.25	Source10/16/2026
	DigitalOcean	Via OpenRouterdigitalocean	$0.1312	$0.4375	Source10/16/2026
	Fireworks	Via OpenRouterfireworks	$0.15	$0.5	Source10/16/2026
	Fireworks	Via OpenRouterfireworks/us	$0.225	$0.75	Source10/16/2026
	Friendli	Via OpenRouterfriendli	$0.15	$0.5	Source10/16/2026
	Inceptron	Via OpenRouterinceptron/fp8	$0.0675	$0.55	Source10/16/2026
	InferenceNet	Via OpenRouterinference-net/fp4	$0.083	$0.28	Source10/16/2026
	Makora	Via OpenRoutermakora	$0.14	$0.47	Source10/16/2026
	Modal	Via OpenRoutermodal/nvfp4	$0.15	$0.5	Source10/16/2026
	Morph	Via OpenRoutermorph/fp8	$0.032	$1	Source10/16/2026
	Near AI	Via OpenRouternear-ai/fp8	$0.08	$0.5	Source10/16/2026
	NextBit	Via OpenRouternextbit/fp4	$0.25	$0.7	Source10/16/2026
	Novita	Via OpenRouternovita/fp8	$0.084	$0.28	Source10/16/2026
	OpenInference	Via OpenRouteropen-inference/fp4	$0.0225	$0.9	Source10/16/2026
	Parasail	Via OpenRouterparasail/fast	$0.1875	$0.625	Source10/16/2026
	Parasail	Via OpenRouterparasail/fp4	$0.15	$0.5	Source10/16/2026
	Phala	Via OpenRouterphala/nvfp4	$0.1125	$0.375	Source10/16/2026
	Reka	Via OpenRouterreka	$0.07	$1.8	Source10/16/2026
	Relace	Via OpenRouterrelace	Lowest listed price: $0.0223	$0.7124	Source10/16/2026
	Sail Research	Via OpenRoutersail-research/fp4	$0.045	$0.6	Source10/16/2026
	Sail Research	Via OpenRoutersail-research/us	$0.045	$0.6	Source10/16/2026
	SiliconFlow	Via OpenRoutersiliconflow/fp8	$0.15	$0.5	Source10/16/2026
	StreamLake	Via OpenRouterstreamlake/fp8	$0.0435	Lowest listed price: $0.145	Source10/16/2026
	Together	Via OpenRoutertogether	$0.15	$0.5	Source10/16/2026
	Venice	Via OpenRoutervenice	$0.15	$0.5	Source10/16/2026
	Wafer	Via OpenRouterwafer	$0.12	$0.5	Source10/16/2026
	Z.AI	Via OpenRouterz-ai/fp8	$0.15	$0.5	Source10/16/2026

Performance

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

Not enough directly matched categories for a reliable radar

Only 0 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.

Muse WonderGLM-5.3-Flash

Code MigrationOverall. Higher is better. Test setup not documented as identical

Muse Wonder62.552 %

GLM-5.3-Flash20.515 %

CyberBench v1.1Overall. Higher is better. Test setup not documented as identical

Muse Wonder80.357 %

GLM-5.3-Flash67.857 %

EMBOverall. Higher is better. Test setup not documented as identical

Muse Wonder67.084 %

GLM-5.3-Flash55.932 %

Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical

Muse Wonder56.637 %

GLM-5.3-Flash57.85 %

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical

Muse Wonder17.083 %

GLM-5.3-Flash6.667 %

IOIOverall. Higher is better. Test setup not documented as identical

Muse Wonder66.944 %

GLM-5.3-Flash52.5 %

Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical

Muse Wonder50.481 %

GLM-5.3-Flash45.192 %

LMArena Code Arena WebDevOverall. Higher is better. Test setup not documented as identical

Muse Wonder1,650.947

GLM-5.3-Flash1,606.051

LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical

Muse Wonder1,512.671

GLM-5.3-Flash1,474.228

ProofBenchOverall. Higher is better. Test setup not documented as identical

Muse Wonder84 %

GLM-5.3-Flash21 %

Tax Agent BenchOverall. Higher is better. Test setup not documented as identical

Muse Wonder36.269 %

GLM-5.3-Flash31.55 %

Terminal-Bench 4.0Overall. Higher is better. Test setup not documented as identical

Muse Wonder49.495 %

GLM-5.3-Flash37.374 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Muse Wonder and GLM-5.3-Flash
Benchmark and task	Muse Wonder	GLM-5.3-Flash	Source
Code MigrationOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value62.552 %	20.515 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value80.357 %	67.857 %	Vals AI Source details Data as of: 10/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value67.084 %	55.932 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	56.637 %	Higher measured value57.85 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value17.083 %	6.667 %	Vals AI Source details Data as of: 10/12/2026
IOIOverall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value66.944 %	52.5 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value50.481 %	45.192 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 1,228 published pairwise votes.GLM-5.3-Flash: Arena rating from 16,470 published pairwise votes.	Higher measured value1,650.947 95% confidence interval: ±18.263The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,606.051 95% confidence interval: ±6.732The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Text, style controlMuse Wonder: Arena rating from 1,944 published pairwise votes.GLM-5.3-Flash: Arena rating from 31,379 published pairwise votes.	Higher measured value1,512.671 95% confidence interval: ±13.236The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,474.228 95% confidence interval: ±4.913The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
ProofBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value84 %	21 %	Vals AI Source details Data as of: 10/12/2026
Tax Agent BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value36.269 %	31.55 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0Overall Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value49.495 %	37.374 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceOverall Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value22.857 %	2.857 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexOverall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value61.062 %	44.581 %	Vals AI Source details Data as of: 10/13/2026
Vibe Code Bench 1-100Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Harness: OpenHands, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value26.55 %	16.033 %	Vals AI Source details Data as of: 10/14/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Harness: OpenHands, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value83.089 %	30.759 %	Vals AI Source details Data as of: 10/12/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value60.07 %	7.354 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Patch Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	No direct winner85.714 %	No direct winner85.714 %	Vals AI Source details Data as of: 10/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value79.488 %	44.602 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Adjustments Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	52.67 %	Higher measured value53.193 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value93.841 %	86.594 %	Vals AI Source details Data as of: 10/12/2026
IOIIOI 2024 Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value66.833 %	53.167 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value63.636 %	57.576 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 1,228 published pairwise votes.GLM-5.3-Flash: Arena rating from 16,470 published pairwise votes.	Higher measured value1,650.947 95% confidence interval: ±18.263The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,606.051 95% confidence interval: ±6.732The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlBusiness, management and finance Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Text, style controlMuse Wonder: Arena rating from 338 published pairwise votes.GLM-5.3-Flash: Arena rating from 5,788 published pairwise votes.	Higher measured value1,500.247 95% confidence interval: ±30.856The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,470.347 95% confidence interval: ±8.428The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value20 %	10 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0Hardware Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value46.667 %	20 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEarth Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value50 %	0 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexCode Migration Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value62.009 %	20.185 %	Vals AI Source details Data as of: 10/13/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value70 %	60 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1PoC Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value75 %	50 %	Vals AI Source details Data as of: 10/12/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value79.232 %	65.712 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)All-Pass Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	45.936 %	Higher measured value46.259 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value20 %	0 %	Vals AI Source details Data as of: 10/12/2026
IOIIOI 2025 Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value75.5 %	56.667 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	90.571 %	Higher measured value90.822 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-html Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 158 published pairwise votes.GLM-5.3-Flash: Arena rating from 2,445 published pairwise votes.	Higher measured value1,721.908 95% confidence interval: ±51.47The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,578.09 95% confidence interval: ±13.732The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlCoding Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Text, style controlMuse Wonder: Arena rating from 487 published pairwise votes.GLM-5.3-Flash: Arena rating from 8,116 published pairwise votes.	Higher measured value1,557.956 95% confidence interval: ±26.189The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,525.054 95% confidence interval: ±7.559The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value71.362 %	52.416 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0Media Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value33.333 %	25 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEngineering Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexEMB Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value67.084 %	55.932 %	Vals AI Source details Data as of: 10/13/2026
Code MigrationCode Quality Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	4.061 / 5	Higher measured value4.355 / 5	Vals AI Source details Data as of: 10/12/2026
EMBDCF Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	51.035 %	Higher measured value59.852 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Comparables Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value47.933 %	45.936 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value92.473 %	89.606 %	Vals AI Source details Data as of: 10/12/2026
IOIIOI 2026 Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value58.5 %	47.667 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchBusiness & Commercial · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value48.837 %	44.186 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-react Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 787 published pairwise votes.GLM-5.3-Flash: Arena rating from 10,513 published pairwise votes.	Higher measured value1,637.813 95% confidence interval: ±23.199The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,625.02 95% confidence interval: ±7.595The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlCreative writing Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Text, style controlMuse Wonder: Arena rating from 427 published pairwise votes.GLM-5.3-Flash: Arena rating from 6,708 published pairwise votes.	Higher measured value1,485.682 95% confidence interval: ±29.474The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,432.918 95% confidence interval: ±8.282The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
Tax Agent BenchCurrent & Temporal Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value50 %	43.197 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0ML Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	45.455 %	Higher measured value51.515 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceLife Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value21.053 %	5.263 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexFinance Agent v2 Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	56.637 %	Higher measured value57.85 %	Vals AI Source details Data as of: 10/13/2026
EMBLBO Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value60.69 %	48.015 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Disclosure Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	67.252 %	Higher measured value71.543 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchBusiness & Commercial · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	86.88 %	Higher measured value91.27 %	Vals AI Source details Data as of: 10/12/2026
LMArena Text, Style ControlEnglish Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Text, style controlMuse Wonder: Arena rating from 802 published pairwise votes.GLM-5.3-Flash: Arena rating from 11,634 published pairwise votes.	Higher measured value1,523.395 95% confidence interval: ±20.831The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,478.325 95% confidence interval: ±6.554The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
Tax Agent BenchCurrent & Temporal Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value77.655 %	61.439 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0Operations Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value40.741 %	14.815 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceMathematical Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value23.529 %	0 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexHLAB Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value17.083 %	6.667 %	Vals AI Source details Data as of: 10/13/2026
EMBM&A Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value76.852 %	65.272 %	Vals AI Source details Data as of: 10/12/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

There is no shared test round for this selection. Results from different rounds are not mixed.

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Muse Wonder

Not tested yet

GLM-5.3-Flash

Reasoning (requested): high

Current attempt

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: z-ai/glm-5.3-flash
API model reported in response: z-ai/glm-5.3-flash
Reasoning setting: high
Pinned endpoint: Z.AI | z-ai/glm-5.3-flash-20260826
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 49.7 s

Visually reviewed. This individual test does not establish overall model quality.

Earlier attempts (1)

Sep 7, 2026API request failedReasoning setting: high

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.

More matchups

Compare Muse Wonder and GLM-5.3-Flash with other leading models using the same data and benchmark logic.

View the complete LLM comparison