Model Comparison

Gemini 3 Pro vs Jamba 1.5 MiniWhich is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks. Jamba 1.5 Mini is 18.0x cheaper per token.

Verdict: Gemini 3 Pro vs Jamba 1.5 Mini — which is better?

Gemini 3 Pro (by Google) and Jamba 1.5 Mini (by AI21 Labs) 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.

Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Mini is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

On price, Jamba 1.5 Mini is roughly 18.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3 Pro if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2025

Choose Jamba 1.5 Mini if…

  • cost matters — it's about 18.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Mini is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Tue Jul 14 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, Gemini 3 Pro ($2.00/1M tokens) is 10.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 30.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Tue Jul 14 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Tue Jul 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Jamba 1.5 Mini uses Jamba Open Model License.

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

Gemini 3 Pro

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Jamba 1.5 Mini was released on 2024-08-22.

Gemini 3 Pro is 15 months newer than Jamba 1.5 Mini.

Gemini 3 Pro

Nov 18, 2025

7 months ago

1.2yr newer
Jamba 1.5 Mini

Aug 22, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Gemini 3 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

Gemini 3 Pro

Jan 2025

10 mo newer
Jamba 1.5 Mini

Mar 2024

Provider Availability

Gemini 3 Pro is available from Google. Jamba 1.5 Mini is available from Bedrock, Google.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (91.9% vs 32.3%)
AI21 Labs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3 Pro and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.

Gemini 3 Pro
✓ Preferred
Jamba 1.5 Mini
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3 Pro
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Gemini 3 Pro vs Jamba 1.5 Mini.

Which is better, Gemini 3 Pro or Jamba 1.5 Mini?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Jamba 1.5 Mini is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Pro compare to Jamba 1.5 Mini in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

Is Gemini 3 Pro cheaper than Jamba 1.5 Mini?

Jamba 1.5 Mini is 10.0x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.

What are the context window sizes for Gemini 3 Pro and Jamba 1.5 Mini?

Gemini 3 Pro supports 1.0M tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3 Pro and Jamba 1.5 Mini?

Key differences include context window (1.0M vs 256K), input pricing ($2.00 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and Jamba 1.5 Mini?

Gemini 3 Pro is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.

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