Model Comparison

Gemini 1.0 Pro vs Jamba 1.5 Large

Jamba 1.5 Large significantly outperforms across most benchmarks. Gemini 1.0 Pro is 4.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Jamba 1.5 Large is better at 2 benchmarks (GPQA, MMLU).

Jamba 1.5 Large significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 4.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 5.3x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
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Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro 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 1.0 Pro

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Jamba 1.5 Large was released on 2024-08-22.

Jamba 1.5 Large is 6 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.

Jamba 1.5 Large has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).

Gemini 1.0 Pro

Feb 2024

Jamba 1.5 Large

Mar 2024

1 mo newer

Provider Availability

Gemini 1.0 Pro is available from Google. Jamba 1.5 Large is available from Bedrock, Google.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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
Less expensive input tokens
Less expensive output tokens
AI21 Labs
Larger context window (256,000 tokens)
Has open weights
Higher GPQA score (36.9% vs 27.9%)
Higher MMLU score (81.2% vs 71.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Gemini 1.0 Pro vs Jamba 1.5 Large

Jamba 1.5 Large significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Gemini 1.0 Pro is 4.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
Gemini 1.0 Pro supports 33K 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.
Key differences include context window (33K vs 256K), input pricing ($0.50 vs $2.00/M), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.0 Pro is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.