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Head-to-head comparison

GLM-5.3 vs. MiMo-V2.5-Pro

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

shared result series
6
distinct benchmarks
6
latest retrieval
2026-08-26

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Specifications

General specifications

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

Specifications for GLM-5.3 and MiMo-V2.5-Pro
AttributeGLM-5.3MiMo-V2.5-Pro
ProviderZ.aiXiaomi
ReleasedAug 14, 2026Apr 23, 2026
AvailabilityActiveOpen Source
Model typeOpen WeightsOpen Weights
Parameters744B, 40B active1T, 42B active
ArchitectureMixture of ExpertsMixture of Experts
Context window1,000,000 tokens1,000,000 tokens
Knowledge cutoffNot publishedNot published
Technical sourcesModel, ContextModel

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 GLM-5.3 and MiMo-V2.5-Pro
Price typeGLM-5.3MiMo-V2.5-Pro
API input$1.4$0.43
API output$4.4$0.87
Cache read$0.26$0.
Cache write (5 min.)Not listedNot listed
Cache write (1 hr.)Not listedNot listed
Price verified08/30/2026 Source07/31/2026 Source
GLM-5.3MiMo-V2.5-Pro
API inputUSD per 1M tokens, base tier
GLM-5.3$1.4
MiMo-V2.5-ProLower price$0.435
API outputUSD per 1M tokens, base tier
GLM-5.3$4.4
MiMo-V2.5-ProLower price$0.87
Cache readUSD per 1M tokens, base tier
GLM-5.3$0.26
MiMo-V2.5-ProLower price$0.004

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.

Provider pricing for GLM-5.3 and MiMo-V2.5-Pro
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
GLM-5.3Z.aiDirect from developerStandard API$1.4$4.4Source08/30/2026
AkashMLVia OpenRouterakashml/fp8$1.3$4.4Source08/29/2026
AtlasCloudVia OpenRouteratlas-cloud/fp8$1.26Lowest listed price: $3.96Source08/29/2026
BaseTenVia OpenRouterbaseten/fp4$1.4$4.4Source08/29/2026
CloudflareVia OpenRoutercloudflare$1.4$4.4Source08/29/2026
DeepInfraVia OpenRouterdeepinfra/fp8Lowest listed price: $1.2$4Source08/29/2026
DigitalOceanVia OpenRouterdigitalocean$1.4$4.4Source08/29/2026
FireworksVia OpenRouterfireworks$1.4$4.4Source08/29/2026
FriendliVia OpenRouterfriendli$1.4$4.4Source08/29/2026
GMICloudVia OpenRoutergmicloud/fp8$1.4$4.4Source08/29/2026
Io NetVia OpenRouterio-net/fp8$1.25$4.4Source08/29/2026
ModalVia OpenRoutermodal$1.4$4.4Source08/29/2026
MorphVia OpenRoutermorph/fp4$1.4$4.4Source08/29/2026
NovitaVia OpenRouternovita/fp8$1.4$4.4Source08/29/2026
ParasailVia OpenRouterparasail/fp8$1.4$4.4Source08/29/2026
TogetherVia OpenRoutertogether$1.4$4.4Source08/29/2026
Z.AIVia OpenRouterz-ai/fp8$1.4$4.4Source08/29/2026
MiMo-V2.5-ProXiaomiDirect from developerStandard API$0.435$0.87Source07/31/2026
AtlasCloudVia OpenRouteratlas-cloud/fp8$0.435$0.87Source08/29/2026
DeepInfraVia OpenRouterdeepinfra/fp8$0.39$1.17Source08/29/2026
DigitalOceanVia OpenRouterdigitalocean$0.4$1.5Source08/29/2026
GMICloudVia OpenRoutergmicloud/bf16Lowest listed price: $0.3045Lowest listed price: $0.609Source08/29/2026
NovitaVia OpenRouternovita$0.4802$0.9605Source08/29/2026
StreamLakeVia OpenRouterstreamlake$0.522$1.044Source08/29/2026
XiaomiVia OpenRouterxiaomi/fp8$0.435$0.87Source08/29/2026

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.

255075100CodingReasoningKnowledgeLegalAgentic tasks
GLM-5.3
MiMo-V2.5-Pro
Coding: 99.5 / 88.8 (2 benchmark families)
Reasoning: 100 / 93.7 (1 benchmark family)
Knowledge: 100 / 97.5 (1 benchmark family)
Legal: 100 / 90.9 (1 benchmark family)
Agentic tasks: 100 / 80.1 (1 benchmark family)

6 matched rows from 6 benchmark families were considered. The radar shows 5 of 5 comparable categories.

GLM-5.3MiMo-V2.5-Pro
GPQA DiamondOverall. Higher is better. No documented setup difference
GLM-5.3Winner88.132 %
MiMo-V2.5-Pro82.576 %
LegalBenchOverall. Higher is better. No documented setup difference
GLM-5.3Winner84.837 %
MiMo-V2.5-Pro77.129 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
GLM-5.380.535 %
MiMo-V2.5-ProWinner81.354 %
MMLU-ProOverall. Higher is better. No documented setup difference
GLM-5.3Winner86.77 %
MiMo-V2.5-Pro84.595 %
SWE-bench VerifiedOverall. Higher is better. No documented setup difference
GLM-5.3Winner95.4 %
MiMo-V2.5-Pro74 %
Terminal-Bench 2.1Overall. Higher is better. No documented setup difference
GLM-5.3Winner71.536 %
MiMo-V2.5-Pro57.303 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for GLM-5.3 and MiMo-V2.5-Pro
Benchmark and taskGLM-5.3MiMo-V2.5-ProSource
GPQA DiamondOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner88.132 %
82.576 %
Vals AI
Source details
Data as of: 08/19/2026
LegalBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner84.837 %
77.129 %
Vals AI
Source details
Data as of: 08/19/2026
LiveCodeBench v6Overall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
80.535 %
Winner81.354 %
Vals AI
Source details
Data as of: 08/19/2026
MMLU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner86.77 %
84.595 %
Vals AI
Source details
Data as of: 08/19/2026
SWE-bench VerifiedOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner95.4 %
74 %
Vals AI
Source details
Data as of: 08/19/2026
Terminal-Bench 2.1Overall
Test details
No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better
Winner71.536 %
57.303 %
Vals AI
Source details
Data as of: 08/19/2026

Key to the marks:better valuebetter, but not conclusivetie

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 GLM-5.3 and MiMo-V2.5-Pro with other leading models using the same data and benchmark logic.

View the complete LLM comparison