Model Comparison

Jamba 1.5 Large vs Jamba 1.5 Mini

Jamba 1.5 Large significantly outperforms across most benchmarks. Jamba 1.5 Mini is 14.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Jamba 1.5 Large outperforms in 8 benchmarks (ARC-C, Arena Hard, GPQA, GSM8k, MMLU, MMLU-Pro, TruthfulQA, Wild Bench), while Jamba 1.5 Mini is better at 0 benchmarks.

Jamba 1.5 Large significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 10.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 20.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
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Model Size

Parameter count comparison

346.0B diff

Jamba 1.5 Large has 346.0B more parameters than Jamba 1.5 Mini, making it 665.4% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
398.0B
Jamba 1.5 Large
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Jamba 1.5 Large is limited to 256,000 tokens.

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Jamba Open Model License.

Both models share the same licensing terms, providing consistent usage rights.

Jamba 1.5 Large

Jamba Open Model License

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Both models were released on 2024-08-22.

They likely represent similar generations of model development.

Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2024-03-05.

They should have similar awareness of historical events and information up to this date.

Jamba 1.5 Large

Mar 2024

Jamba 1.5 Mini

Mar 2024

Provider Availability

Jamba 1.5 Large is available from Bedrock. Jamba 1.5 Mini is available from Bedrock.

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Higher ARC-C score (93.0% vs 85.7%)
Higher Arena Hard score (65.4% vs 46.1%)
Higher GPQA score (36.9% vs 32.3%)
Higher GSM8k score (87.0% vs 75.8%)
Higher MMLU score (81.2% vs 69.7%)
Higher MMLU-Pro score (53.5% vs 42.5%)
Higher TruthfulQA score (58.3% vs 54.1%)
Higher Wild Bench score (48.5% vs 42.4%)
AI21 Labs
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Jamba 1.5 Large vs Jamba 1.5 Mini

Jamba 1.5 Large significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Jamba 1.5 Mini is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.
Jamba 1.5 Mini is 10.0x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.
Jamba 1.5 Large supports 256K tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 256K), input pricing ($2.00 vs $0.20/M). See the full comparison above for benchmark-by-benchmark results.