Model Comparison

Jamba 1.5 Large vs Qwen2.5-Coder 7B InstructWhich is better in 2026?

Jamba 1.5 Large significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Large vs Qwen2.5-Coder 7B Instruct — which is better?

Jamba 1.5 Large (by AI21 Labs) and Qwen2.5-Coder 7B Instruct (by Alibaba Cloud / Qwen Team) 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 5 benchmarks (ARC-C, GSM8k, MMLU, MMLU-Pro, TruthfulQA), while Qwen2.5-Coder 7B Instruct is better at 0 benchmarks. Jamba 1.5 Large significantly outperforms across most benchmarks.

Choose Jamba 1.5 Large if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks

Choose Qwen2.5-Coder 7B Instruct if…

  • you want the most recent training data — it shipped Sep 2024

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Jamba 1.5 Large outperforms in 5 benchmarks (ARC-C, GSM8k, MMLU, MMLU-Pro, TruthfulQA), while Qwen2.5-Coder 7B Instruct is better at 0 benchmarks.

Jamba 1.5 Large significantly outperforms across most benchmarks.

Tue Jun 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

391.0B diff

Jamba 1.5 Large has 391.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 5585.7% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
398.0B
Jamba 1.5 Large
7.0B
Qwen2.5-Coder 7B Instruct

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
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Tue Jun 16 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen2.5-Coder 7B Instruct 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

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Qwen2.5-Coder 7B Instruct is 1 month newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.7 years ago

4w newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen2.5-Coder 7B Instruct'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 Qwen2.5-Coder 7B Instruct's cutoff date.

Jamba 1.5 Large

Mar 2024

Qwen2.5-Coder 7B Instruct

Outputs Comparison

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Key Takeaways

Larger context window (256,000 tokens)
Higher ARC-C score (93.0% vs 60.9%)
Higher GSM8k score (87.0% vs 83.9%)
Higher MMLU score (81.2% vs 67.6%)
Higher MMLU-Pro score (53.5% vs 40.1%)
Higher TruthfulQA score (58.3% vs 50.6%)
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

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

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct

FAQ

Common questions about Jamba 1.5 Large vs Qwen2.5-Coder 7B Instruct.

Which is better, Jamba 1.5 Large or Qwen2.5-Coder 7B Instruct?

Jamba 1.5 Large significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Qwen2.5-Coder 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Large compare to Qwen2.5-Coder 7B Instruct in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for Jamba 1.5 Large and Qwen2.5-Coder 7B Instruct?

Jamba 1.5 Large supports 256K tokens and Qwen2.5-Coder 7B Instruct 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 Qwen2.5-Coder 7B Instruct?

Key differences include 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 Qwen2.5-Coder 7B Instruct?

Jamba 1.5 Large is developed by AI21 Labs and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.