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Gemini 1.5 Flash 8B vs Jamba 1.5 Large

Gemini 1.5 Flash 8B and Jamba 1.5 Large are closely matched at -0.6 and 1.2 on the LLM Stats Score. Gemini 1.5 Flash 8B is 27.5x cheaper per token.

Google · AI21 Labs · Updated for 2026

Which is better?

Gemini 1.5 Flash 8B and Jamba 1.5 Large are closely matched on the overall LLM Stats Score at -0.6 and 1.2.

In the 2 individual benchmarks reported for both models, Gemini 1.5 Flash 8B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 1.5 Flash 8B is roughly 27.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 1.5 Flash 8B

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 27.5x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose Jamba 1.5 Large

  • you want the most recent training data — it shipped Aug 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Flash 8B
Google
Jamba 1.5 Large
AI21 Labs
Core performance indexes
LLM Stats Score
-0.6
#314
1.2
#305
Reasoning
-0.2
#304
1.2
#296
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.07 / M
$2.00 / M
Output price
$0.30 / M
$8.00 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.5 Flash 8B
Jamba 1.5 Large
Math
2.7#282
4.9#270
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 1.5 Flash 8B · 8 for Jamba 1.5 Large

2 shared

Gemini 1.5 Flash 8B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Jamba 1.5 Large is better at 0 benchmarks.

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash 8B costs less

For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 28.6x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 26.7x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Gemini 1.5 Flash 8B.*

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

Lowest available price from all providers
Tue Sep 01 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
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→

Model Size

Parameter count comparison

390.0B diff

Jamba 1.5 Large has 390.0B more parameters than Gemini 1.5 Flash 8B, making it 4875.0% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
8.0B
Gemini 1.5 Flash 8B
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B 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 1.5 Flash 8B is limited to 8,192 tokens.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Jamba 1.5 Large does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Jamba 1.5 Large was released on 2024-08-22.

Jamba 1.5 Large is 5 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.5 years ago

Jamba 1.5 Large

Aug 22, 2024

2.0 years ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.

Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).

Gemini 1.5 Flash 8B

Oct 2024

7 mo newer
Jamba 1.5 Large

Mar 2024

Provider Availability

Gemini 1.5 Flash 8B is available from Google. Jamba 1.5 Large is available from Bedrock, Google.

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash 8B and Jamba 1.5 Large side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash 8B
✓ Preferred
Jamba 1.5 Large
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash 8B vs Jamba 1.5 Large.

Which is better, Gemini 1.5 Flash 8B or Jamba 1.5 Large?

Gemini 1.5 Flash 8B and Jamba 1.5 Large are closely matched on the LLM Stats Score at -0.6 and 1.2. Gemini 1.5 Flash 8B is made by Google and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.5 Flash 8B compare to Jamba 1.5 Large in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is Gemini 1.5 Flash 8B cheaper than Jamba 1.5 Large?

Gemini 1.5 Flash 8B is 28.6x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/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 1.5 Flash 8B and Jamba 1.5 Large?

Gemini 1.5 Flash 8B 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 1.5 Flash 8B and Jamba 1.5 Large?

Key differences include LLM Stats Score (-0.6 vs 1.2), context window (1.0M vs 256K), input pricing ($0.07 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 1.5 Flash 8B and Jamba 1.5 Large?

Gemini 1.5 Flash 8B is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.

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