Head-to-head · multimodal vs multimodal

Mistral Large 3 vs o3 Vision: which model should you choose?

We compared Mistral Large 3 and o3 Vision on price, context window and 12 benchmarks. o3 Vision has the stronger average benchmark score; Mistral Large 3 is cheaper on a blended 3:1 basis.

Mistral AI

Mistral Large 3

Mistral Large 3 is a multimodal model from Mistral AI. It offers a 128,000-token context window, costs $5.41 per million input tokens and $23.83 per million output tokens, and averages 81.7 across the index's benchmark suite.

Input
$5.41 / 1M
Output
$23.83 / 1M
Context
128,000
Avg score
81.7
Open weights
Yes
Full Mistral Large 3 page
OpenAI

o3 Vision

o3 Vision is a multimodal model from OpenAI. It offers a 1,000,000-token context window, costs $15.24 per million input tokens and $65.25 per million output tokens, and averages 81.8 across the index's benchmark suite.

Input
$15.24 / 1M
Output
$65.25 / 1M
Context
1,000,000
Avg score
81.8
Open weights
No
Full o3 Vision page

Specification comparison

SpecMistral Large 3o3 VisionEdge
Input price / 1M$5.41$15.24A
Output price / 1M$23.83$65.25A
Context window128,0001,000,000B
Max output4,0968,192B
Average score81.781.8B
Arena Elo1448.61436.5A
Open weightsYesNoA

Benchmark comparison

Mistral Large 3 wins 7, o3 Vision wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkMistral Large 3o3 VisionGapWinner
MMLU-Pro84.683.61.0Mistral Large 3
GPQA Diamond79.677.81.8Mistral Large 3
SWE-bench Verified71.371.80.5o3 Vision
HumanEval88.685.63.0Mistral Large 3
MATH-50084.184.40.3o3 Vision
AIME 202578.382.44.1o3 Vision
LiveCodeBench74.473.70.7Mistral Large 3
IFEval89.889.30.5Mistral Large 3
TruthfulQA83.785.82.1o3 Vision
HellaSwag88.289.71.5o3 Vision
MMMU76.275.70.5Mistral Large 3
Arena Elo1448.61436.512.1Mistral Large 3

Price analysis

On a blended 3:1 input-to-output basis, Mistral Large 3 costs about $10.02 per million tokens and o3 Vision costs about $27.74. Mistral Large 3 is roughly 64% cheaper than o3 Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

o3 Vision has the larger context window at 1,000,000 tokens, compared with 128,000 for Mistral Large 3. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Mistral Large 3 wins 7, o3 Vision wins 5, and 0 are tied. On the index average, o3 Vision leads Mistral Large 3 by 0.1 points (81.8 versus 81.7).

The price picture favours Mistral Large 3. The context picture favours o3 Vision. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with o3 Vision for quality-sensitive work and Mistral Large 3 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Mistral Large 3 if

  • Unit cost matters and you want the cheaper blended price.
  • You need open weights for self-hosting or fine-tuning.

Choose o3 Vision if

  • You want the higher average benchmark score in this index.
  • You need the larger 1,000,000-token context window.
  • You need the larger 8,192-token output limit.
  • The workload needs multi-step reasoning.

FAQ

Is Mistral Large 3 better than o3 Vision?

On the index average, o3 Vision leads Mistral Large 3 by 0.1 points (81.8 versus 81.7). The better choice depends on price, context and your task. Mistral Large 3 wins 7 benchmarks, o3 Vision wins 5.

Which is cheaper, Mistral Large 3 or o3 Vision?

Mistral Large 3 is cheaper on a blended 3:1 basis at about $10.02 per million tokens, versus $27.74 for o3 Vision.

Which has the larger context window?

o3 Vision has the larger context window at 1,000,000 tokens. Mistral Large 3 has 128,000 tokens.

Are these models open weights?

Mistral Large 3 is open weights; o3 Vision is proprietary.

Which should I choose for production?

If you need a single default, start with o3 Vision for quality-sensitive work and Mistral Large 3 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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