Qwen2.5-Coder-32B-Instruct vs Codestral (25.08) vs GPT-5.4

Best cell per row highlighted. Null means undisclosed — never counted as zero.

Alibaba Cloud
Qwen2.5-Coder-32B-InstructGA
8.4
AI Panel
Mistral AI
Codestral (25.08)GA
7.6
AI Panel
OpenAI
GPT-5.4GA
8.7
AI Panel

Identity & lifecycle

ProviderAlibaba CloudMistral AIOpenAI
Family / tierQwen2.5-Coder · CoderCodestral · CoderGPT-5 · Medium
StatusGAGAGA
Released2024-11-122025-07-312026-03-05
Knowledge cutoff2024-082025-052025-08

Architecture & context

Context window131K128K1.1M
Max output tokens8K16K128K
Input modalitiestexttexttext, image
Reasoning modenonenoneoptional
Open weightsYesNoNo

Pricing (per Mtok)

Input$0.08$0.3$2.5
Output$0.24$0.9$15
Cached input—$0.03$0.25
Batch input—$0.15$1.25
Free tierYesYesNo

Speed

Output speed (tok/s)——86.3
Time to first token (s)——1.2
Latency tierfastfastmedium

Trust & deployment

Trains on inputsNoNoNo
LicenseApache-2.0ProprietaryProprietary
CloudsGCPBedrock, Azure AI Foundry, Vertex AIAzure OpenAI, Azure AI Foundry
Compliance—SOC2, ISO27001, GDPRSOC2, GDPR, CCPA, HIPAA

AI Panel scoring

Unified score8.47.68.7
Decision Maker8.57.59
Domain Strategist87.58.7
Finance Lead989
Domain Practitioner9.589
Power User8.57.58.5
Skeptic7.578
Value score9.58.58.5

Benchmarks

GPQA Diamond——92.8
HumanEval92.786.6—
LiveCodeBench31.4——
MMMU——81.2
Terminal-Bench——75.1
MRCR Long Context——36.6
Humanity's Last Exam——39.8
LMArena Elo1270—1476
LMArena Coding Elo1342—1520

Scores link to their sources. Missing cells mean the vendor hasn't disclosed a result — honesty over padding.