Model Comparison

Jamba 1.5 Large vs MiniMax M1 40KWhich is better in 2026?

MiniMax M1 40K significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Large vs MiniMax M1 40K — which is better?

Jamba 1.5 Large (by AI21 Labs) and MiniMax M1 40K (by MiniMax) 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 MiniMax M1 40K is better at 2 benchmarks (GPQA, MMLU-Pro). MiniMax M1 40K 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 MiniMax M1 40K if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while MiniMax M1 40K is better at 2 benchmarks (GPQA, MMLU-Pro).

MiniMax M1 40K significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

58.0B diff

MiniMax M1 40K has 58.0B more parameters than Jamba 1.5 Large, making it 14.6% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
398.0B
Jamba 1.5 Large
456.0B
MiniMax M1 40K

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
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Sun Jul 26 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while MiniMax M1 40K uses MIT.

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

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while MiniMax M1 40K was released on 2025-06-16.

MiniMax M1 40K is 10 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.9 years ago

MiniMax M1 40K

Jun 16, 2025

1.1 years ago

9mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while MiniMax M1 40K'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 MiniMax M1 40K's cutoff date.

Jamba 1.5 Large

Mar 2024

MiniMax M1 40K

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Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
MiniMax
Higher GPQA score (69.2% vs 36.9%)
Higher MMLU-Pro score (80.6% vs 53.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and MiniMax M1 40K side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
MiniMax M1 40K
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
MiniMax
MiniMax M1 40K

FAQ

Common questions about Jamba 1.5 Large vs MiniMax M1 40K.

Which is better, Jamba 1.5 Large or MiniMax M1 40K?

MiniMax M1 40K significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Large compare to MiniMax M1 40K in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for Jamba 1.5 Large and MiniMax M1 40K?

Jamba 1.5 Large supports 256K tokens and MiniMax M1 40K 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 MiniMax M1 40K?

Key differences include licensing (Jamba Open Model License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and MiniMax M1 40K?

Jamba 1.5 Large is developed by AI21 Labs and MiniMax M1 40K is developed by MiniMax.

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