Model Comparison

Gemma 3 27B vs Jamba 1.5 Large

Gemma 3 27B significantly outperforms across most benchmarks. Gemma 3 27B is 28.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3 27B outperforms in 3 benchmarks (GPQA, GSM8k, MMLU-Pro), while Jamba 1.5 Large is better at 0 benchmarks.

Gemma 3 27B significantly outperforms across most benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, Gemma 3 27B ($0.10/1M tokens) is 20.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemma 3 27B ($0.20/1M tokens) is 40.0x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
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

371.0B diff

Jamba 1.5 Large has 371.0B more parameters than Gemma 3 27B, making it 1374.1% larger.

Google
Gemma 3 27B
27.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
27.0B
Gemma 3 27B
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 27B's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Gemma 3 27B is limited to 131,072 tokens.

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas Jamba 1.5 Large does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 27B

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B 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 27B

Gemma

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Jamba 1.5 Large was released on 2024-08-22.

Gemma 3 27B is 7 months newer than Jamba 1.5 Large.

Gemma 3 27B

Mar 12, 2025

1.1 years ago

6mo newer
Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Gemma 3 27B's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Gemma 3 27B's cutoff date.

Gemma 3 27B

—

Jamba 1.5 Large

Mar 2024

Provider Availability

Gemma 3 27B is available from DeepInfra, Novita. Jamba 1.5 Large is available from Bedrock, Google.

Gemma 3 27B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
novita logo
Novita
Input Price:Input: $0.11/1MOutput Price:Output: $0.20/1M

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 GPQA score (42.4% vs 36.9%)
Higher GSM8k score (95.9% vs 87.0%)
Higher MMLU-Pro score (67.5% vs 53.5%)
AI21 Labs
Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Gemma 3 27B vs Jamba 1.5 Large

Gemma 3 27B significantly outperforms across most benchmarks. Gemma 3 27B 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.
Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Gemma 3 27B is 20.0x cheaper for input tokens. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
Gemma 3 27B 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.
Key differences include context window (131K vs 256K), input pricing ($0.10 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.
Gemma 3 27B is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.