Model Comparison

Claude Opus 4.6 vs Ministral 8B InstructWhich is better in 2026?

Comparing Claude Opus 4.6 and Ministral 8B Instruct across benchmarks, pricing, and capabilities.

Verdict: Claude Opus 4.6 vs Ministral 8B Instruct — which is better?

Claude Opus 4.6 (by Anthropic) 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 100.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 4.6 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Claude Opus 4.6 if…

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

Choose Ministral 8B Instruct if…

  • cost matters — it's about 100.0x 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

Claude Opus 4.6 and Ministral 8B Instruct don'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, Claude Opus 4.6 ($5.00/1M tokens) is 50.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

For output processing, Claude Opus 4.6 ($25.00/1M tokens) is 250.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

In conclusion, Claude Opus 4.6 is more expensive than Ministral 8B Instruct.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Anthropic
Claude Opus 4.6
Input tokens$5.00
Output tokens$25.00
Best providerAnthropic
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

Claude Opus 4.6 accepts 1,000,000 input tokens compared to Ministral 8B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Anthropic
Claude Opus 4.6
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Opus 4.6 supports multimodal inputs, whereas Ministral 8B Instruct does not.

Claude Opus 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Opus 4.6

Text
Images
Audio
Video

Ministral 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.6 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.

Claude Opus 4.6

Proprietary

Closed source

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

Claude Opus 4.6 was released on 2026-02-05, while Ministral 8B Instruct was released on 2024-10-16.

Claude Opus 4.6 is 16 months newer than Ministral 8B Instruct.

Claude Opus 4.6

Feb 5, 2026

4 months ago

1.3yr newer
Ministral 8B Instruct

Oct 16, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude Opus 4.6 is available from Anthropic. Ministral 8B Instruct is available from Mistral AI.

Claude Opus 4.6

anthropic logo
Anthropic
Input Price:Input: $5.00/1MOutput Price:Output: $25.00/1M

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

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

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4.6
Mistral AI
Ministral 8B Instruct

FAQ

Common questions about Claude Opus 4.6 vs Ministral 8B Instruct.

Which is better, Claude Opus 4.6 or Ministral 8B Instruct?

Claude Opus 4.6 (Anthropic) 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 Claude Opus 4.6 compare to Ministral 8B Instruct in benchmarks?

Claude Opus 4.6 scores Vending-Bench 2: 100.0%, AIME 2025: 99.8%, Tau2 Telecom: 99.3%, Graphwalks parents >128k: 95.4%, MRCR v2 (8-needle): 93.0%. 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 Claude Opus 4.6 cheaper than Ministral 8B Instruct?

Ministral 8B Instruct is 50.0x cheaper for input tokens. Claude Opus 4.6 costs $5.00/M input and $25.00/M output via anthropic. Ministral 8B Instruct costs $0.10/M input and $0.10/M output via mistral.

What are the context window sizes for Claude Opus 4.6 and Ministral 8B Instruct?

Claude Opus 4.6 supports 1.0M 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 Claude Opus 4.6 and Ministral 8B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($5.00 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 Claude Opus 4.6 and Ministral 8B Instruct?

Claude Opus 4.6 is developed by Anthropic and Ministral 8B Instruct is developed by Mistral AI.