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Mistral Medium 3.1 vs o1

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 Mistral Medium 3.1 and o1.

Mistral

Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

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OpenAI

o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

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Technical Specifications

SpecificationMistral Medium 3.1o1
ProviderMistralOpenAI
Context Window131,072 tokens200,000 tokens
Agent SuitabilityN/A88/100
Time to First Token (TTFT)N/A2500 ms
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-132024-12-17

API Pricing Comparison

Input Price per Million Tokens

Mistral Medium 3.1

$0.40

o1

$15.00

Output Price per Million Tokens

Mistral Medium 3.1

$2.00

o1

$60.00

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
N/Avs9180.0%
Mistral Medium 3.1
o1
HumanEvalPython coding & logic synthesis
N/Avs9450.0%
Mistral Medium 3.1
o1
MATHComplex mathematical problem solving
N/Avs9480.0%
Mistral Medium 3.1
o1
GPQAGraduate-level expert reasoning
N/Avs7830.0%
Mistral Medium 3.1
o1
HellaSwagCommonsense reasoning and inference
N/Avs9200.0%
Mistral Medium 3.1
o1
MT-BenchMulti-turn conversation flow quality
N/Avs940.0%
Mistral Medium 3.1
o1

Mistral Medium 3.1 Quirks & Gotchas

No developer gotchas reported.

o1 Quirks & Gotchas

  • โ–ธReasoning model โ€” high latency by design, not for real-time use
  • โ–ธBest for complex math/code reasoning where accuracy > speed
  • โ–ธUse o3-mini when you need reasoning with lower latency