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Mistral AI

Mistral Large 3

VS
OpenAI

GPT-5.5 Pro

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.5 Pro is the premium intelligence choice, scoring 0.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mistral Large 3 is 1.0x cheaper to run and delivers 3.0x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mistral Large 3 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.5 Pro fully justifies the cost.

Model Specs

Mistral Large 3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
85.5%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed3.0x faster
220 tps
Context Window
262.14k tokens
Model Specs

GPT-5.5 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+10.7%)
96.2%

Cost & Performance

Cost (per 1M tokens)
$67.50Input: $30.00 | Output: $180.00
Speed
74 tps
Context WindowLarger
1.05M tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Mistral Large 3 is faster than GPT-5.5 Pro. Mistral Large 3 generates 220 tokens per second (tps) compared to GPT-5.5 Pro which generates 74 tokens per second.

Coding benchmark scores are not currently recorded for these models.

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