Model Comparison

GPT-5.6 Luna vs Ministral 8B InstructWhich is better in 2026?

Comparing GPT-5.6 Luna and Ministral 8B Instruct across benchmarks, pricing, and capabilities.

Verdict: GPT-5.6 Luna vs Ministral 8B Instruct — which is better?

GPT-5.6 Luna (by OpenAI) and Ministral 8B Instruct (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, Ministral 8B Instruct is roughly 22.5x 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…

  • 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 Ministral 8B Instruct if…

  • cost matters — it's about 22.5x 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 Luna and Ministral 8B Instructdon'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

Ministral 8B Instruct costs less

For input processing, GPT-5.6 Luna ($1.00/1M tokens) is 10.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

For output processing, GPT-5.6 Luna ($6.00/1M tokens) is 60.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

In conclusion, GPT-5.6 Luna is more expensive than Ministral 8B Instruct.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
OpenAI
GPT-5.6 Luna
Input tokens$1.00
Output tokens$6.00
Best providerOpenAI
Mistral AI
Ministral 8B Instruct
Input tokens$0.10
Output tokens$0.10
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 Ministral 8B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Luna supports multimodal inputs, whereas Ministral 8B Instruct does not.

GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Luna

Text
Images
Audio
Video

Ministral 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna is licensed under a proprietary license, while Ministral 8B Instruct uses Mistral Research License.

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

GPT-5.6 Luna

Proprietary

Closed source

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Ministral 8B Instruct was released on 2024-10-16.

GPT-5.6 Luna is 21 months newer than Ministral 8B Instruct.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

1.7yr newer
Ministral 8B Instruct

Oct 16, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Ministral 8B Instruct'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 Ministral 8B Instruct's cutoff date.

GPT-5.6 Luna

Feb 2026

Ministral 8B Instruct

—

Provider Availability

GPT-5.6 Luna is available from OpenAI. Ministral 8B Instruct is available from Mistral AI.

GPT-5.6 Luna

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

Ministral 8B Instruct

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* 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)
Supports multimodal inputs
Mistral AI
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 Luna and Ministral 8B Instruct side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Ministral 8B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
Mistral AI
Ministral 8B Instruct

FAQ

Common questions about GPT-5.6 Luna vs Ministral 8B Instruct.

Which is better, GPT-5.6 Luna or Ministral 8B Instruct?

GPT-5.6 Luna (OpenAI) and Ministral 8B Instruct (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 Ministral 8B Instruct 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%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.

Is GPT-5.6 Luna cheaper than Ministral 8B Instruct?

Ministral 8B Instruct is 10.0x cheaper for input tokens. GPT-5.6 Luna costs $1.00/M input and $6.00/M output via openai. Ministral 8B Instruct costs $0.10/M input and $0.10/M output via mistral.

What are the context window sizes for GPT-5.6 Luna and Ministral 8B Instruct?

GPT-5.6 Luna supports 1.1M tokens and Ministral 8B Instruct 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 Ministral 8B Instruct?

Key differences include context window (1.1M vs 128K), input pricing ($1.00 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and Ministral 8B Instruct?

GPT-5.6 Luna is developed by OpenAI and Ministral 8B Instruct is developed by Mistral AI.

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