Model Comparison

GPT-5.6 Sol vs Mistral Large 3Which is better in 2026?

Comparing GPT-5.6 Sol and Mistral Large 3 across benchmarks, pricing, and capabilities.

Verdict: GPT-5.6 Sol vs Mistral Large 3 — which is better?

GPT-5.6 Sol (by OpenAI) and Mistral Large 3 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Mistral Large 3 is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.6 Sol if…

  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Mistral Large 3 if…

  • cost matters — it's about 4.1x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.6 Sol and Mistral Large 3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Large 3 costs less

For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 2.5x more expensive than Mistral Large 3 ($2.00/1M tokens).

For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 6.0x more expensive than Mistral Large 3 ($5.00/1M tokens).

In conclusion, GPT-5.6 Sol is more expensive than Mistral Large 3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
OpenAI
GPT-5.6 Sol
Input tokens$5.00
Output tokens$30.00
Best providerOpenAI
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.6 Sol accepts 1,050,000 input tokens compared to Mistral Large 3's 128,000 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while Mistral Large 3 is limited to 8,192 tokens.

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Sol and Mistral Large 3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.6 Sol

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Sol is licensed under a proprietary license, while Mistral Large 3 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.6 Sol

Proprietary

Closed source

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while Mistral Large 3 was released on 2025-09-01.

GPT-5.6 Sol is 10 months newer than Mistral Large 3.

GPT-5.6 Sol

Jul 9, 2026

1 weeks ago

10mo newer
Mistral Large 3

Sep 1, 2025

10 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Mistral Large 3's cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Mistral Large 3's cutoff date.

GPT-5.6 Sol

Feb 2026

Mistral Large 3

Provider Availability

GPT-5.6 Sol is available from OpenAI. Mistral Large 3 is available from Mistral AI.

GPT-5.6 Sol

openai logo
OpenAI
Input Price:Input: $5.00/1MOutput Price:Output: $30.00/1M

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,050,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and Mistral Large 3 side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
Mistral Large 3
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Sol
Mistral AI
Mistral Large 3

FAQ

Common questions about GPT-5.6 Sol vs Mistral Large 3.

Which is better, GPT-5.6 Sol or Mistral Large 3?

GPT-5.6 Sol (OpenAI) and Mistral Large 3 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5.6 Sol compare to Mistral Large 3 in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

Is GPT-5.6 Sol cheaper than Mistral Large 3?

Mistral Large 3 is 2.5x cheaper for input tokens. GPT-5.6 Sol costs $5.00/M input and $30.00/M output via openai. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral.

What are the context window sizes for GPT-5.6 Sol and Mistral Large 3?

GPT-5.6 Sol supports 1.1M tokens and Mistral Large 3 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.6 Sol and Mistral Large 3?

Key differences include context window (1.1M vs 128K), input pricing ($5.00 vs $2.00/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and Mistral Large 3?

GPT-5.6 Sol is developed by OpenAI and Mistral Large 3 is developed by Mistral AI.