Model Comparison

Jamba 1.5 Mini vs Phi 4 Mini ReasoningWhich is better in 2026?

Phi 4 Mini Reasoning significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Mini vs Phi 4 Mini Reasoning — which is better?

Jamba 1.5 Mini (by AI21 Labs) and Phi 4 Mini Reasoning (by Microsoft) 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 Phi 4 Mini Reasoning is better at 1 benchmark (GPQA). Phi 4 Mini Reasoning significantly outperforms across most benchmarks.

Choose Jamba 1.5 Mini if…

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

Choose Phi 4 Mini Reasoning if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Phi 4 Mini Reasoning is better at 1 benchmark (GPQA).

Phi 4 Mini Reasoning significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

48.2B diff

Jamba 1.5 Mini has 48.2B more parameters than Phi 4 Mini Reasoning, making it 1268.4% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
52.0B
Jamba 1.5 Mini
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Phi 4 Mini Reasoning 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

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Phi 4 Mini Reasoning was released on 2025-04-30.

Phi 4 Mini Reasoning is 8 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.8 years ago

Phi 4 Mini Reasoning

Apr 30, 2025

1.2 years ago

8mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while Phi 4 Mini Reasoning has a cutoff of 2025-02-01.

Phi 4 Mini Reasoning has more recent training data (up to 2025-02-01), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

Jamba 1.5 Mini

Mar 2024

Phi 4 Mini Reasoning

Feb 2025

11 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Microsoft
Higher GPQA score (52.0% vs 32.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Mini and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

Jamba 1.5 Mini
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about Jamba 1.5 Mini vs Phi 4 Mini Reasoning.

Which is better, Jamba 1.5 Mini or Phi 4 Mini Reasoning?

Phi 4 Mini Reasoning significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Phi 4 Mini Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Mini compare to Phi 4 Mini Reasoning in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for Jamba 1.5 Mini and Phi 4 Mini Reasoning?

Jamba 1.5 Mini supports 256K tokens and Phi 4 Mini Reasoning 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 Mini and Phi 4 Mini Reasoning?

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 Mini and Phi 4 Mini Reasoning?

Jamba 1.5 Mini is developed by AI21 Labs and Phi 4 Mini Reasoning is developed by Microsoft.

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