The AI arena is free today

Open Superagent

Ministral 3 (14B Reasoning 2512) vs Mistral Medium 3.5

Ministral 3 (14B Reasoning 2512) and Mistral Medium 3.5 are closely matched at 20.6 and 26.9 on the LLM Stats Score. Ministral 3 (14B Reasoning 2512) is 15.0x cheaper per token.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Ministral 3 (14B Reasoning 2512) and Mistral Medium 3.5 are closely matched on the overall LLM Stats Score at 20.6 and 26.9.

In the 1 individual benchmarks reported for both models, Mistral Medium 3.5 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Ministral 3 (14B Reasoning 2512) is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ministral 3 (14B 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 Ministral 3 (14B Reasoning 2512)

  • cost matters — it's about 15.0x cheaper per token
  • you process long inputs — it offers a 262,100 token context window

Choose Mistral Medium 3.5

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Apr 2026

At a glance

The differences that matter most.

Ministral 3 (14B Reasoning 2512)
Mistral AI
Mistral Medium 3.5
Mistral AI
Core performance indexes
LLM Stats Score
20.6
#192
26.9
#144
Reasoning
20.6
#183
27.3
#136
Coding
11.1
#159
23.7
#74
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.20 / M
$1.50 / M
Output price
$0.20 / M
$7.50 / M
Context window
262,100
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (14B Reasoning 2512)
Mistral Medium 3.5
Math
21.1#151
18.9#171
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 11 for Mistral Medium 3.5

1 shared

Ministral 3 (14B Reasoning 2512) outperforms in 0 benchmarks, while Mistral Medium 3.5 is better at 1 benchmark (AIME 2025).

Mistral Medium 3.5 significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 3 (14B Reasoning 2512) costs less

For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 7.5x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).

For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 37.5x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).

In conclusion, Mistral Medium 3.5 is more expensive than Ministral 3 (14B Reasoning 2512).*

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

Lowest available price from all providers
Thu Sep 10 2026 • llm-stats.com
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

114.0B diff

Mistral Medium 3.5 has 114.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 814.3% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
Mistral AI
Mistral Medium 3.5
128.0Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
128.0B
Mistral Medium 3.5

Context Window

Maximum input and output token capacity

Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Mistral Medium 3.5 is limited to 256,000 tokens.

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (14B Reasoning 2512) and Mistral Medium 3.5 support multimodal inputs.

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

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Mistral Medium 3.5

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Reasoning 2512) is licensed under Apache 2.0, while Mistral Medium 3.5 uses Modified MIT License.

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

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Mistral Medium 3.5

Modified MIT License

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Mistral Medium 3.5 was released on 2026-04-29.

Mistral Medium 3.5 is 5 months newer than Ministral 3 (14B Reasoning 2512).

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

9 months ago

Mistral Medium 3.5

Apr 29, 2026

4 months ago

4mo newer

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

Ministral 3 (14B Reasoning 2512) is available from Mistral AI. Mistral Medium 3.5 is available from Mistral AI.

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Mistral Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ministral 3 (14B Reasoning 2512) and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
Mistral Medium 3.5
Open in Playground

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Mistral Medium 3.5.

Which is better, Ministral 3 (14B Reasoning 2512) or Mistral Medium 3.5?

Ministral 3 (14B Reasoning 2512) and Mistral Medium 3.5 are closely matched on the LLM Stats Score at 20.6 and 26.9. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and Mistral Medium 3.5 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 Ministral 3 (14B Reasoning 2512) compare to Mistral Medium 3.5 in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%.

Is Ministral 3 (14B Reasoning 2512) cheaper than Mistral Medium 3.5?

Ministral 3 (14B Reasoning 2512) is 7.5x cheaper for input tokens. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and Mistral Medium 3.5?

Ministral 3 (14B Reasoning 2512) supports 262K tokens and Mistral Medium 3.5 supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ministral 3 (14B Reasoning 2512) and Mistral Medium 3.5?

Key differences include LLM Stats Score (20.6 vs 26.9), context window (262K vs 256K), input pricing ($0.20 vs $1.50/M), licensing (Apache 2.0 vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Related comparisons