Model Comparison

Jamba 1.5 Large vs Mistral Large 3 (675B Instruct 2512 NVFP4)Which is better in 2026?

Mistral Large 3 (675B Instruct 2512 NVFP4) significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Large vs Mistral Large 3 (675B Instruct 2512 NVFP4) — which is better?

Jamba 1.5 Large (by AI21 Labs) and Mistral Large 3 (675B Instruct 2512 NVFP4) (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 Large outperforms in 0 benchmarks, while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 1 benchmark (GPQA). Mistral Large 3 (675B Instruct 2512 NVFP4) significantly outperforms across most benchmarks.

Choose Jamba 1.5 Large if…

  • you want predictable pricing at $2.00/M input and $8.00/M output

Choose Mistral Large 3 (675B Instruct 2512 NVFP4) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 1 benchmark (GPQA).

Mistral Large 3 (675B Instruct 2512 NVFP4) significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

277.0B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 277.0B more parameters than Jamba 1.5 Large, making it 69.6% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
398.0B
Jamba 1.5 Large
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Jamba 1.5 Large does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Large

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Mistral Large 3 (675B Instruct 2512 NVFP4) uses Apache 2.0.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 16 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.9 years ago

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

7 months ago

1.3yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

Jamba 1.5 Large

Mar 2024

Mistral Large 3 (675B Instruct 2512 NVFP4)

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Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Mistral AI
Supports multimodal inputs
Higher GPQA score (43.9% vs 36.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)

FAQ

Common questions about Jamba 1.5 Large vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Jamba 1.5 Large or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Mistral Large 3 (675B Instruct 2512 NVFP4) significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Large compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Jamba 1.5 Large and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Jamba 1.5 Large supports 256K tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) supports an unknown number of 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 Large and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include 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 Large and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Jamba 1.5 Large is developed by AI21 Labs and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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