Model Comparison

Jamba 1.5 Mini vs Llama 3.2 11B InstructWhich is better in 2026?

Llama 3.2 11B Instruct significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is 5.0x cheaper per token.

Verdict: Jamba 1.5 Mini vs Llama 3.2 11B Instruct — which is better?

Jamba 1.5 Mini (by AI21 Labs) and Llama 3.2 11B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Jamba 1.5 Mini outperforms in 0 benchmarks, while Llama 3.2 11B Instruct is better at 2 benchmarks (GPQA, MMLU). Llama 3.2 11B Instruct significantly outperforms across most benchmarks.

On price, Llama 3.2 11B Instruct is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Jamba 1.5 Mini also accepts a larger context window (256,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Jamba 1.5 Mini if…

  • you process long inputs — it offers a 256,144 token context window

Choose Llama 3.2 11B Instruct if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 5.0x cheaper per token
  • you want the most recent training data — it shipped Sep 2024

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while Llama 3.2 11B Instruct is better at 2 benchmarks (GPQA, MMLU).

Llama 3.2 11B Instruct significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 4.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 8.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Llama 3.2 11B Instruct.*

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

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

41.4B diff

Jamba 1.5 Mini has 41.4B more parameters than Llama 3.2 11B Instruct, making it 390.6% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
52.0B
Jamba 1.5 Mini
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Llama 3.2 11B Instruct is limited to 128,000 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Mini

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Llama 3.2 11B Instruct was released on 2024-09-25.

Llama 3.2 11B Instruct is 1 month newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.9 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

1mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.

Jamba 1.5 Mini has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).

Jamba 1.5 Mini

Mar 2024

3 mo newer
Llama 3.2 11B Instruct

Dec 2023

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Meta
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (32.8% vs 32.3%)
Higher MMLU score (73.0% vs 69.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Mini and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

Jamba 1.5 Mini
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about Jamba 1.5 Mini vs Llama 3.2 11B Instruct.

Which is better, Jamba 1.5 Mini or Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Mini compare to Llama 3.2 11B Instruct in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

Is Jamba 1.5 Mini cheaper than Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct is 4.0x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra.

What are the context window sizes for Jamba 1.5 Mini and Llama 3.2 11B Instruct?

Jamba 1.5 Mini supports 256K tokens and Llama 3.2 11B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Mini and Llama 3.2 11B Instruct?

Key differences include context window (256K vs 128K), input pricing ($0.20 vs $0.05/M), multimodal support (no vs yes), licensing (Jamba Open Model License vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Llama 3.2 11B Instruct?

Jamba 1.5 Mini is developed by AI21 Labs and Llama 3.2 11B Instruct is developed by Meta.

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