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GPT-5.5 vs Mistral Large 3

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5.5 and Mistral Large 3.

OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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Mistral

Mistral Large 3

Mistral's flagship commercial model, boasting multilingual support and advanced coding and math skills. Designed for complex reasoning and enterprise tasks that require high compliance.

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Technical Specifications

SpecificationGPT-5.5Mistral Large 3
ProviderOpenAIMistral
Context Window1,050,000 tokens262,144 tokens
Agent Suitability95/10091/100
Time to First Token (TTFT)380 ms250 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242024-07-24

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

Mistral Large 3

$0.50

Output Price per Million Tokens

GPT-5.5

$30.00

Mistral Large 3

$1.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9420.0%vs8680.0%
GPT-5.5
Mistral Large 3
HumanEvalPython coding & logic synthesis
9680.0%vs8820.0%
GPT-5.5
Mistral Large 3
MATHComplex mathematical problem solving
9350.0%vs7950.0%
GPT-5.5
Mistral Large 3
GPQAGraduate-level expert reasoning
8420.0%vs5850.0%
GPT-5.5
Mistral Large 3
HellaSwagCommonsense reasoning and inference
9900.0%vs9000.0%
GPT-5.5
Mistral Large 3
MT-BenchMulti-turn conversation flow quality
970.0%vs900.0%
GPT-5.5
Mistral Large 3

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling

Mistral Large 3 Quirks & Gotchas

  • Top-tier structured JSON output — best multilingual function calling
  • Le Chat offers free consumer tier with same underlying model