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Claude Haiku 4.5 vs Ministral 3 (8B Reasoning 2512)

Claude Haiku 4.5 and Ministral 3 (8B Reasoning 2512) are closely matched at 25.6 and 16.5 on the LLM Stats Score. Ministral 3 (8B Reasoning 2512) is 13.3x cheaper per token.

Anthropic · Mistral AI · Updated for 2026

Which is better?

Claude Haiku 4.5 and Ministral 3 (8B Reasoning 2512) are closely matched on the overall LLM Stats Score at 25.6 and 16.5.

In the 2 individual benchmarks reported for both models, Claude Haiku 4.5 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Ministral 3 (8B Reasoning 2512) is roughly 13.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ministral 3 (8B Reasoning 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude Haiku 4.5

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Ministral 3 (8B Reasoning 2512)

  • cost matters — it's about 13.3x cheaper per token
  • you process long inputs — it offers a 262,100 token context window
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Haiku 4.5
Anthropic
Ministral 3 (8B Reasoning 2512)
Mistral AI
Core performance indexes
LLM Stats Score
25.6
#171
16.5
#238
Reasoning
25.2
#168
16.6
#230
Coding
19.4
#114
8.9
#190
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$1.00 / M
$0.15 / M
Output price
$5.00 / M
$0.15 / M
Context window
200,000
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 4.5
Ministral 3 (8B Reasoning 2512)
Math
15.6#220
17.1#204
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Claude Haiku 4.5 · 4 for Ministral 3 (8B Reasoning 2512)

2 shared

Claude Haiku 4.5 outperforms in 2 benchmarks (AIME 2025, GPQA), while Ministral 3 (8B Reasoning 2512) is better at 0 benchmarks.

Claude Haiku 4.5 significantly outperforms across most benchmarks.

Sun Oct 18 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 3 (8B Reasoning 2512) costs less

For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 6.7x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 33.3x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

In conclusion, Claude Haiku 4.5 is more expensive than Ministral 3 (8B Reasoning 2512).*

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

Lowest available price from all providers
Sun Oct 18 2026 • llm-stats.com
Anthropic
Claude Haiku 4.5
Input tokens$1.00
Output tokens$5.00
Best providerAnthropic
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Ministral 3 (8B Reasoning 2512) accepts 262,100 input tokens compared to Claude Haiku 4.5's 200,000 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.

Anthropic
Claude Haiku 4.5
Input200,000 tokens
Output64,000 tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Sun Oct 18 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 4.5 and Ministral 3 (8B Reasoning 2512) support multimodal inputs.

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

Claude Haiku 4.5

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 is licensed under a proprietary license, while Ministral 3 (8B Reasoning 2512) uses Apache 2.0.

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

Claude Haiku 4.5

Proprietary

Closed source

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (8B Reasoning 2512) is 2 months newer than Claude Haiku 4.5.

Claude Haiku 4.5

Oct 15, 2025

1.0 years ago

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

10 months ago

1mo newer

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Ministral 3 (8B Reasoning 2512)'s cutoff date is not specified.

We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Ministral 3 (8B Reasoning 2512)'s cutoff date.

Claude Haiku 4.5

Feb 2025

Ministral 3 (8B Reasoning 2512)

—

Provider Availability

Claude Haiku 4.5 is available from Anthropic, DeepInfra, Vertex AI. Ministral 3 (8B Reasoning 2512) is available from Mistral AI.

Claude Haiku 4.5

anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M
vertex logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

Ministral 3 (8B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 4.5 and Ministral 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.

Claude Haiku 4.5
✓ Preferred
Ministral 3 (8B Reasoning 2512)
Open in Playground

FAQ

Common questions about Claude Haiku 4.5 vs Ministral 3 (8B Reasoning 2512).

Which is better, Claude Haiku 4.5 or Ministral 3 (8B Reasoning 2512)?

Claude Haiku 4.5 and Ministral 3 (8B Reasoning 2512) are closely matched on the LLM Stats Score at 25.6 and 16.5. Claude Haiku 4.5 is made by Anthropic and Ministral 3 (8B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Haiku 4.5 compare to Ministral 3 (8B Reasoning 2512) in benchmarks?

Claude Haiku 4.5 scores Tau2 Retail: 83.2%, MMMLU: 83.0%, Tau2 Telecom: 83.0%, AIME 2025: 80.7%, SWE-Bench Verified: 73.3%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.

Is Claude Haiku 4.5 cheaper than Ministral 3 (8B Reasoning 2512)?

Ministral 3 (8B Reasoning 2512) is 6.7x cheaper for input tokens. Claude Haiku 4.5 costs $1.00/M input and $5.00/M output via anthropic. Ministral 3 (8B Reasoning 2512) costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for Claude Haiku 4.5 and Ministral 3 (8B Reasoning 2512)?

Claude Haiku 4.5 supports 200K tokens and Ministral 3 (8B Reasoning 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Haiku 4.5 and Ministral 3 (8B Reasoning 2512)?

Key differences include LLM Stats Score (25.6 vs 16.5), context window (200K vs 262K), input pricing ($1.00 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 4.5 and Ministral 3 (8B Reasoning 2512)?

Claude Haiku 4.5 is developed by Anthropic and Ministral 3 (8B Reasoning 2512) is developed by Mistral AI.

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