Model Comparison

Jamba 1.5 Mini vs MiniMax M2

MiniMax M2 significantly outperforms across most benchmarks. Jamba 1.5 Mini is 2.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while MiniMax M2 is better at 2 benchmarks (GPQA, MMLU-Pro).

MiniMax M2 significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 1.5x cheaper than MiniMax M2 ($0.30/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 3.0x cheaper than MiniMax M2 ($1.20/1M tokens).

In conclusion, MiniMax M2 is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Wed May 13 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

178.0B diff

MiniMax M2 has 178.0B more parameters than Jamba 1.5 Mini, making it 342.3% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
MiniMax
MiniMax M2
230.0Bparameters
52.0B
Jamba 1.5 Mini
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

MiniMax M2 accepts 1,000,000 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while MiniMax M2 uses MIT.

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

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while MiniMax M2 was released on 2025-10-27.

MiniMax M2 is 14 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

MiniMax M2

Oct 27, 2025

6 months ago

1.2yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while MiniMax M2'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 MiniMax M2's cutoff date.

Jamba 1.5 Mini

Mar 2024

MiniMax M2

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. MiniMax M2 is available from MiniMax, Novita.

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

MiniMax M2

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Less expensive input tokens
Less expensive output tokens
MiniMax
Larger context window (1,000,000 tokens)
Higher GPQA score (78.0% vs 32.3%)
Higher MMLU-Pro score (82.0% vs 42.5%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
MiniMax
MiniMax M2

FAQ

Common questions about Jamba 1.5 Mini vs MiniMax M2.

Which is better, Jamba 1.5 Mini or MiniMax M2?

MiniMax M2 significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and MiniMax M2 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 Mini compare to MiniMax M2 in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

Is Jamba 1.5 Mini cheaper than MiniMax M2?

Jamba 1.5 Mini is 1.5x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for Jamba 1.5 Mini and MiniMax M2?

Jamba 1.5 Mini supports 256K tokens and MiniMax M2 supports 1.0M 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 MiniMax M2?

Key differences include context window (256K vs 1.0M), input pricing ($0.20 vs $0.30/M), licensing (Jamba Open Model License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and MiniMax M2?

Jamba 1.5 Mini is developed by AI21 Labs and MiniMax M2 is developed by MiniMax.