Gemini 3.8 Flash
Unavailable in this round
Head-to-head comparison
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
Specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Gemini 3.8 Flash | GLM-5.3-Flash |
|---|---|---|
| Provider | Z.ai | |
| Released | Sep 2, 2026 | Aug 26, 2026 |
| Availability | Active | 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 | March 2026 | Not published |
| Technical sources | Model, Knowledge cutoff | Model, Context |
Pricing
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.
| Price type | Gemini 3.8 Flash | GLM-5.3-Flash |
|---|---|---|
| API input | $0.75 | $0.15 |
| API output | $3.75 | $0.5 |
| Cache read | $0.075 | $0.03 |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 09/22/2026 Source | 09/22/2026 Source |
Key to the marks:better valuebetter, but not conclusivetie
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.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| Gemini 3.8 Flash | Direct from developerStandard API | $0.75 | $3.75 | Source09/22/2026 | |
| Via OpenRoutergoogle-vertex/us | $0.825 | $4.125 | Source10/17/2026 | ||
| Google AI Studio | Via OpenRoutergoogle-ai-studio | $0.75 | $3.75 | Source10/17/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source10/17/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/priority | $1.35 | $6.75 | Source10/17/2026 | |
| 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 | Source10/17/2026 | |
| BaseTen | Via OpenRouterbaseten/fp8 | $0.15 | $0.5 | Source10/17/2026 | |
| BaseTen | Via OpenRouterbaseten/fp8/us | $0.15 | $0.5 | Source10/17/2026 | |
| CoreWeave | Via OpenRoutercoreweave/nvfp4 | $0.15 | $0.5 | Source10/17/2026 | |
| Crusoe | Via OpenRoutercrusoe/fp4 | $0.15 | $0.5 | Source10/17/2026 | |
| Decart | Via OpenRouterdecart/fp4 | $0.129 | $0.43 | Source10/17/2026 | |
| DeepInfra | Via OpenRouterdeepinfra/fp4 | $0.075 | Lowest listed price: $0.25 | Source10/17/2026 | |
| DigitalOcean | Via OpenRouterdigitalocean | $0.1312 | $0.4375 | Source10/17/2026 | |
| Fireworks | Via OpenRouterfireworks | $0.15 | $0.5 | Source10/17/2026 | |
| Fireworks | Via OpenRouterfireworks/us | $0.225 | $0.75 | Source10/17/2026 | |
| Friendli | Via OpenRouterfriendli | $0.15 | $0.5 | Source10/17/2026 | |
| GMICloud | Via OpenRoutergmicloud/fp8 | $0.09 | $0.3 | Source10/17/2026 | |
| Inceptron | Via OpenRouterinceptron/fp8 | $0.1 | $0.8625 | Source10/17/2026 | |
| InferenceNet | Via OpenRouterinference-net/fp4 | $0.12 | $0.388 | Source10/17/2026 | |
| Makora | Via OpenRoutermakora | $0.14 | $0.47 | Source10/17/2026 | |
| Modal | Via OpenRoutermodal/nvfp4 | $0.15 | $0.5 | Source10/17/2026 | |
| Morph | Via OpenRoutermorph/fp8 | $0.076 | $0.65 | Source10/17/2026 | |
| Near AI | Via OpenRouternear-ai/fp8 | $0.08 | $0.5 | Source10/17/2026 | |
| NextBit | Via OpenRouternextbit/fp4 | $0.25 | $0.7 | Source10/17/2026 | |
| Novita | Via OpenRouternovita/fp8 | $0.084 | $0.28 | Source10/17/2026 | |
| OpenInference | Via OpenRouteropen-inference/fp4 | Lowest listed price: $0.0215 | $0.3966 | Source10/17/2026 | |
| Parasail | Via OpenRouterparasail/fast | $0.1875 | $0.625 | Source10/17/2026 | |
| Parasail | Via OpenRouterparasail/fp4 | $0.15 | $0.5 | Source10/17/2026 | |
| Phala | Via OpenRouterphala/nvfp4 | $0.1275 | $0.425 | Source10/17/2026 | |
| Reka | Via OpenRouterreka | $0.06 | $1.6 | Source10/17/2026 | |
| Relace | Via OpenRouterrelace | $0.075 | $0.5 | Source10/17/2026 | |
| Sail Research | Via OpenRoutersail-research/fp4 | $0.0784 | $0.3 | Source10/17/2026 | |
| Sail Research | Via OpenRoutersail-research/us | $0.0784 | $0.3 | Source10/17/2026 | |
| SiliconFlow | Via OpenRoutersiliconflow/fp8 | $0.15 | $0.5 | Source10/17/2026 | |
| StreamLake | Via OpenRouterstreamlake/fp8 | $0.075 | Lowest listed price: $0.25 | Source10/17/2026 | |
| Together | Via OpenRoutertogether | $0.15 | $0.5 | Source10/17/2026 | |
| Venice | Via OpenRoutervenice | $0.15 | $0.5 | Source10/17/2026 | |
| Wafer | Via OpenRouterwafer/nvfp4 | $0.12 | $0.5 | Source10/17/2026 | |
| Z.AI | Via OpenRouterz-ai/fp8 | $0.15 | $0.5 | Source10/17/2026 |
Performance
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.
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.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Gemini 3.8 Flash | GLM-5.3-Flash | Source |
|---|---|---|---|
Code MigrationOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value36.546 % | 20.515 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 43.75 % | Higher measured value67.857 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value72.196 % | 55.932 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value61.435 % | 57.85 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value94.444 % | 86.364 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkOverall · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value10 % | 6.667 % | Vals AISource detailsData as of: 10/12/2026 |
IOIOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value56.944 % | 52.5 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchOverall · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 38.942 % | Higher measured value45.192 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value86.993 % | 83.928 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value89.484 % | 80.51 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Code Arena WebDevOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.GLM-5.3-Flash: Arena rating from 16,470 published pairwise votes. | 1,584.77 95% confidence interval: ±7.59The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | Higher measured value1,606.051 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. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Text, Style ControlOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 35,670 published pairwise votes.GLM-5.3-Flash: Arena rating from 31,379 published pairwise votes. | Higher measured value1,496.319 95% confidence interval: ±4.654The 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. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Vision, Style ControlOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 3,792 published pairwise votes.GLM-5.3-Flash: Arena rating from 11,157 published pairwise votes. | Higher measured value1,289.129 95% confidence interval: ±10.62The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,273.331 95% confidence interval: ±7.077The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
MedScribeOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 30,000 tokens | 84.496 % | Higher measured value88.936 % | Vals AISource detailsData as of: 10/13/2026 |
MMLU-ProOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value90.221 % | 86.059 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value89.075 % | 86.012 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value1 % | 0 % | Vals AISource detailsData as of: 10/12/2026 |
ProofBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value48 % | 21 % | Vals AISource detailsData as of: 10/12/2026 |
SkillsBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Harness: OpenHands, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value57.985 % | 40.159 % | Vals AISource detailsData as of: 09/27/2026 |
SRE BenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value11.069 % | 0.763 % | Vals AISource detailsData as of: 10/14/2026 |
SWE-bench VerifiedOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 80 % | Higher measured value92 % | Vals AISource detailsData as of: 09/01/2026 |
Tax Agent BenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value32.124 % | 31.55 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 74.448 % | Higher measured value75.593 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value81.273 % | 62.921 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | 19.697 % | Higher measured value37.374 % | Vals AISource detailsData as of: 10/13/2026 |
Terminal-Bench ScienceOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value8.571 % | 2.857 % | Vals AISource detailsData as of: 10/14/2026 |
Vals IndexOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value54.887 % | 44.581 % | Vals AISource detailsData as of: 10/13/2026 |
Vibe Code Bench 1-100OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.0Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Harness: OpenHands, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value18.772 % | 16.033 % | Vals AISource detailsData as of: 10/14/2026 |
Vibe Code Bench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Harness: OpenHands, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value78.651 % | 30.759 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value25.871 % | 7.354 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1PatchTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value87.5 % | 85.714 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value76.435 % | 44.602 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)AdjustmentsTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value54.828 % | 53.193 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondFew-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value94.949 % | 85.354 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value87.681 % | 86.594 % | Vals AISource detailsData as of: 10/12/2026 |
IOIIOI 2024Test detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value55.667 % | 53.167 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 46.97 % | Higher measured value57.576 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value90.691 % | 89.573 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | No direct winner99.068 % | No direct winner99.068 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Code Arena WebDevImage to webdevTest detailsTest setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 2,015 published pairwise votes.GLM-5.3-Flash: Arena rating from 4,315 published pairwise votes. | Higher measured value1,593.067 95% confidence interval: ±13.862The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,580.658 95% confidence interval: ±10.006The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 6,520 published pairwise votes.GLM-5.3-Flash: Arena rating from 5,788 published pairwise votes. | Higher measured value1,479.887 95% confidence interval: ±8.136The 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. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Vision, Style ControlChineseTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 182 published pairwise votes.GLM-5.3-Flash: Arena rating from 453 published pairwise votes. | Higher measured value1,379.729 95% confidence interval: ±43.521The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,342.756 95% confidence interval: ±28.033The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
MMLU-ProBiologyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value94.979 % | 93.863 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchAlmost ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value14 % | 7 % | Vals AISource detailsData as of: 10/12/2026 |
SkillsBenchNo SkillsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Harness: OpenHands, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value41.046 % | 32.516 % | Vals AISource detailsData as of: 09/27/2026 |
SRE BenchCapability ScoreTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: capability scoreScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value19.656 % | 6.489 % | Vals AISource detailsData as of: 10/14/2026 |
SWE-bench Verified<15 min fixTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 89.691 % | Higher measured value93.299 % | Vals AISource detailsData as of: 09/01/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | 6.667 % | Higher measured value10 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 62.469 % | Higher measured value64.023 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.1EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value100 % | 91.667 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0HardwareTest detailsTest setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value26.667 % | 20 % | Vals AISource detailsData as of: 10/13/2026 |
Terminal-Bench ScienceEarth SciencesTest detailsTest setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 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 AISource detailsData as of: 10/14/2026 |
Vals IndexCode MigrationTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value31.558 % | 20.185 % | Vals AISource detailsData as of: 10/13/2026 |
Code MigrationCOBOLTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value68.571 % | 60 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1PoCTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 0 % | Higher measured value50 % | Vals AISource detailsData as of: 10/12/2026 |
EMBDataroomTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value86.218 % | 65.712 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)All-PassTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value49.694 % | 46.259 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondZero-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value93.939 % | 87.374 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 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 AISource detailsData as of: 10/12/2026 |
IOIIOI 2025Test detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value61.333 % | 56.667 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 87.613 % | Higher measured value90.822 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value84.589 % | 79.508 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens GLM-5.3-Flash: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value78 % | 53.429 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Code Arena WebDevWebdevTest detailsTest setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev GLM-5.3-Flash: Snapshot: glm-5.3-flash, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.GLM-5.3-Flash: Arena rating from 16,470 published pairwise votes. | 1,584.77 95% confidence interval: ±7.59The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | Higher measured value1,606.051 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. | LMArenaSource detailsData as of: 10/13/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Shared test round: 4ae5d8eeb9a9
Unavailable in this round
Unavailable in this round
A community classic for free-form SVG drawing.
Gemini 3.8 Flash
The response reached the token limit. No complete recording is available.
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
GLM-5.3-Flash

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
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
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 Gemini 3.8 Flash and GLM-5.3-Flash with other leading models using the same data and benchmark logic.