Model Comparison

Gemma 3 4B vs Jamba 1.5 Large

Jamba 1.5 Large shows notably better performance in the majority of benchmarks. Gemma 3 4B is 140.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3 4B outperforms in 1 benchmarks (GSM8k), while Jamba 1.5 Large is better at 2 benchmarks (GPQA, MMLU-Pro).

Jamba 1.5 Large shows notably better performance in the majority of benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 100.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 200.0x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Wed May 13 2026 • llm-stats.com
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
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

394.0B diff

Jamba 1.5 Large has 394.0B more parameters than Gemma 3 4B, making it 9850.0% larger.

Google
Gemma 3 4B
4.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
4.0B
Gemma 3 4B
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Gemma 3 4B's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Gemma 3 4B is limited to 131,072 tokens.

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Jamba 1.5 Large does not.

Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 4B

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, 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.

Gemma 3 4B

Gemma

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Jamba 1.5 Large was released on 2024-08-22.

Gemma 3 4B is 7 months newer than Jamba 1.5 Large.

Gemma 3 4B

Mar 12, 2025

1.2 years ago

6mo newer
Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemma 3 4B has a knowledge cutoff of 2024-08-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.

Gemma 3 4B has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).

Gemma 3 4B

Aug 2024

5 mo newer
Jamba 1.5 Large

Mar 2024

Provider Availability

Gemma 3 4B is available from DeepInfra. Jamba 1.5 Large is available from Bedrock, Google.

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M

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→

Key Takeaways

Google
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GSM8k score (89.2% vs 87.0%)
AI21 Labs
Larger context window (256,000 tokens)
Higher GPQA score (36.9% vs 30.8%)
Higher MMLU-Pro score (53.5% vs 43.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 4B
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Gemma 3 4B vs Jamba 1.5 Large.

Which is better, Gemma 3 4B or Jamba 1.5 Large?

Jamba 1.5 Large shows notably better performance in the majority of benchmarks. Gemma 3 4B 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.

How does Gemma 3 4B compare to Jamba 1.5 Large in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is Gemma 3 4B cheaper than Jamba 1.5 Large?

Gemma 3 4B is 100.0x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.

What are the context window sizes for Gemma 3 4B and Jamba 1.5 Large?

Gemma 3 4B supports 131K 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 Gemma 3 4B and Jamba 1.5 Large?

Key differences include context window (131K vs 256K), input pricing ($0.02 vs $2.00/M), multimodal support (yes vs no), licensing (Gemma vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and Jamba 1.5 Large?

Gemma 3 4B is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.