Model Comparison

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

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

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

GPT-5.6 Luna (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, GPT-5.6 Luna is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 Luna 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 Luna if…

  • cost matters — it's about 1.2x cheaper per token
  • 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…

  • 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 Luna 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

GPT-5.6 Luna costs less

For input processing, GPT-5.6 Luna ($1.00/1M tokens) is 2.0x cheaper than Mistral Large 3 ($2.00/1M tokens).

For output processing, GPT-5.6 Luna ($6.00/1M tokens) is 1.2x more expensive than Mistral Large 3 ($5.00/1M tokens).

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

* 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 Luna
Input tokens$1.00
Output tokens$6.00
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 Luna accepts 1,050,000 input tokens compared to Mistral Large 3's 128,000 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while Mistral Large 3 is limited to 8,192 tokens.

OpenAI
GPT-5.6 Luna
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 Luna and Mistral Large 3 support multimodal inputs.

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

GPT-5.6 Luna

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna 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 Luna

Proprietary

Closed source

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

GPT-5.6 Luna

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 Luna 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 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Mistral Large 3's cutoff date.

GPT-5.6 Luna

Feb 2026

Mistral Large 3

—

Provider Availability

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

GPT-5.6 Luna

openai logo
OpenAI
Input Price:Input: $1.00/1MOutput Price:Output: $6.00/1M

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

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

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

GPT-5.6 Luna (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 Luna compare to Mistral Large 3 in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. 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 Luna cheaper than Mistral Large 3?

GPT-5.6 Luna is 2.0x cheaper for input tokens. GPT-5.6 Luna costs $1.00/M input and $6.00/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 Luna and Mistral Large 3?

GPT-5.6 Luna 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 Luna and Mistral Large 3?

Key differences include context window (1.1M vs 128K), input pricing ($1.00 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 Luna and Mistral Large 3?

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

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