Model Comparison

Jamba 1.5 Mini vs Ministral 3 (14B Reasoning 2512)Which is better in 2026?

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is 1.3x cheaper per token.

Verdict: Jamba 1.5 Mini vs Ministral 3 (14B Reasoning 2512) — which is better?

Jamba 1.5 Mini (by AI21 Labs) and Ministral 3 (14B Reasoning 2512) (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.

Jamba 1.5 Mini outperforms in 0 benchmarks, while Ministral 3 (14B Reasoning 2512) is better at 1 benchmark (GPQA). Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.

On price, Ministral 3 (14B Reasoning 2512) is roughly 1.3x 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.

Choose Jamba 1.5 Mini if…

  • you want predictable pricing at $0.20/M input and $0.40/M output

Choose Ministral 3 (14B Reasoning 2512) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 1.3x 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
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Ministral 3 (14B Reasoning 2512) is better at 1 benchmark (GPQA).

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 3 (14B Reasoning 2512) costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) costs the same as Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 2.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

In conclusion, Jamba 1.5 Mini 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
Sun Jun 14 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

38.0B diff

Jamba 1.5 Mini has 38.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 271.4% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
52.0B
Jamba 1.5 Mini
14.0B
Ministral 3 (14B Reasoning 2512)

Context Window

Maximum input and output token capacity

Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Sun Jun 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Mini

Text
Images
Audio
Video

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Ministral 3 (14B Reasoning 2512) uses Apache 2.0.

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

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (14B Reasoning 2512) is 16 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.8 years ago

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

6 months ago

1.3yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Ministral 3 (14B Reasoning 2512)'s cutoff date is not specified.

We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without Ministral 3 (14B Reasoning 2512)'s cutoff date.

Jamba 1.5 Mini

Mar 2024

Ministral 3 (14B Reasoning 2512)

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive output tokens
Higher GPQA score (71.2% vs 32.3%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Mistral AI
Ministral 3 (14B Reasoning 2512)

FAQ

Common questions about Jamba 1.5 Mini vs Ministral 3 (14B Reasoning 2512).

Which is better, Jamba 1.5 Mini or Ministral 3 (14B Reasoning 2512)?

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Ministral 3 (14B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Mini compare to Ministral 3 (14B Reasoning 2512) in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%.

Is Jamba 1.5 Mini cheaper than Ministral 3 (14B Reasoning 2512)?

Both models cost $0.20 per million input tokens.

What are the context window sizes for Jamba 1.5 Mini and Ministral 3 (14B Reasoning 2512)?

Jamba 1.5 Mini supports 256K tokens and Ministral 3 (14B 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 Jamba 1.5 Mini and Ministral 3 (14B Reasoning 2512)?

Key differences include context window (256K vs 262K), multimodal support (no vs yes), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Ministral 3 (14B Reasoning 2512)?

Jamba 1.5 Mini is developed by AI21 Labs and Ministral 3 (14B Reasoning 2512) is developed by Mistral AI.

Related comparisons