Model Comparison

Gemini 3.6 Flash vs Jamba 1.5 LargeWhich is better in 2026?

Comparing Gemini 3.6 Flash and Jamba 1.5 Large across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.6 Flash vs Jamba 1.5 Large — which is better?

Gemini 3.6 Flash (by Google) and Jamba 1.5 Large (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.

On price, Gemini 3.6 Flash is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.6 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.6 Flash if…

  • cost matters — it's about 1.2x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Jamba 1.5 Large if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.6 Flash and Jamba 1.5 Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 3.6 Flash costs less

For input processing, Gemini 3.6 Flash ($1.50/1M tokens) is 1.3x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 1.1x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Gemini 3.6 Flash.*

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

Lowest available price from all providers
Fri Jul 24 2026 • llm-stats.com
Google
Gemini 3.6 Flash
Input tokens$1.50
Output tokens$7.50
Best providerGoogle
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.6 Flash accepts 1,048,576 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Gemini 3.6 Flash is limited to 65,536 tokens.

Google
Gemini 3.6 Flash
Input1,048,576 tokens
Output65,536 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Fri Jul 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.6 Flash supports multimodal inputs, whereas Jamba 1.5 Large does not.

Gemini 3.6 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.6 Flash

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.6 Flash is licensed under a proprietary license, while Jamba 1.5 Large uses Jamba Open Model License.

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

Gemini 3.6 Flash

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 3.6 Flash was released on 2026-07-21, while Jamba 1.5 Large was released on 2024-08-22.

Gemini 3.6 Flash is 23 months newer than Jamba 1.5 Large.

Gemini 3.6 Flash

Jul 21, 2026

2 days ago

1.9yr newer
Jamba 1.5 Large

Aug 22, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 3.6 Flash has a knowledge cutoff of 2026-03-31, while Jamba 1.5 Large has a cutoff of 2024-03-05.

Gemini 3.6 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).

Gemini 3.6 Flash

Mar 2026

2 yr newer
Jamba 1.5 Large

Mar 2024

Provider Availability

Gemini 3.6 Flash is available from Google. Jamba 1.5 Large is available from Bedrock, Google.

Gemini 3.6 Flash

google logo
Google
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
AI21 Labs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.6 Flash and Jamba 1.5 Large side-by-side, then vote on the output you prefer.

Gemini 3.6 Flash
✓ Preferred
Jamba 1.5 Large
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.6 Flash
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Gemini 3.6 Flash vs Jamba 1.5 Large.

Which is better, Gemini 3.6 Flash or Jamba 1.5 Large?

Gemini 3.6 Flash (Google) and Jamba 1.5 Large (AI21 Labs) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.6 Flash compare to Jamba 1.5 Large in benchmarks?

Gemini 3.6 Flash scores CharXiv-R: 89.4%, OSWorld-Verified: 83.0%, Terminal-Bench 2.1: 78.0%, MLE-Bench: 63.9%, SWE-Bench Pro: 58.7%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is Gemini 3.6 Flash cheaper than Jamba 1.5 Large?

Gemini 3.6 Flash is 1.3x cheaper for input tokens. Gemini 3.6 Flash costs $1.50/M input and $7.50/M output via google. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.

What are the context window sizes for Gemini 3.6 Flash and Jamba 1.5 Large?

Gemini 3.6 Flash supports 1.0M tokens and Jamba 1.5 Large 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 3.6 Flash and Jamba 1.5 Large?

Key differences include context window (1.0M vs 256K), input pricing ($1.50 vs $2.00/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 3.6 Flash and Jamba 1.5 Large?

Gemini 3.6 Flash is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.

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