Model Comparison

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

Jamba 1.5 Large significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is 70.0x cheaper per token.

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

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

On price, Llama 3.2 11B Instruct is roughly 70.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Jamba 1.5 Large also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Jamba 1.5 Large if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 256,000 token context window

Choose Llama 3.2 11B Instruct if…

  • cost matters — it's about 70.0x 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 Large outperforms in 2 benchmarks (GPQA, MMLU), while Llama 3.2 11B Instruct is better at 0 benchmarks.

Jamba 1.5 Large 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 Large ($2.00/1M tokens) is 40.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 160.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, Jamba 1.5 Large 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 Large
Input tokens$2.00
Output tokens$8.00
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

387.4B diff

Jamba 1.5 Large has 387.4B more parameters than Llama 3.2 11B Instruct, making it 3654.7% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
398.0B
Jamba 1.5 Large
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

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

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 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 Large 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 Large

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large 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 Large

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 Large 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 Large.

Jamba 1.5 Large

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

Jamba 1.5 Large 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 Large

Mar 2024

3 mo newer
Llama 3.2 11B Instruct

Dec 2023

Provider Availability

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

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

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 (256,000 tokens)
Higher GPQA score (36.9% vs 32.8%)
Higher MMLU score (81.2% vs 73.0%)
Meta
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

Jamba 1.5 Large significantly outperforms across most benchmarks. Jamba 1.5 Large 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 Large compare to Llama 3.2 11B Instruct in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. 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 Large cheaper than Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct is 40.0x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/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 Large and Llama 3.2 11B Instruct?

Jamba 1.5 Large 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 Large and Llama 3.2 11B Instruct?

Key differences include context window (256K vs 128K), input pricing ($2.00 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 Large and Llama 3.2 11B Instruct?

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

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