Model Comparison

o1 vs Jamba 1.5 LargeWhich is better in 2026?

o1 significantly outperforms across most benchmarks. Jamba 1.5 Large is 7.5x cheaper per token.

Verdict: o1 vs Jamba 1.5 Large — which is better?

o1 (by OpenAI) and Jamba 1.5 Large (by AI21 Labs) 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.

o1 outperforms in 3 benchmarks (GPQA, GSM8k, MMLU), while Jamba 1.5 Large is better at 0 benchmarks. o1 significantly outperforms across most benchmarks.

On price, Jamba 1.5 Large is roughly 7.5x 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 o1 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Dec 2024

Choose Jamba 1.5 Large if…

  • cost matters — it's about 7.5x cheaper per token
  • you process long inputs — it offers a 256,000 token context window
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

o1 outperforms in 3 benchmarks (GPQA, GSM8k, MMLU), while Jamba 1.5 Large is better at 0 benchmarks.

o1 significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Large costs less

For input processing, o1 ($15.00/1M tokens) is 7.5x more expensive than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, o1 ($60.00/1M tokens) is 7.5x more expensive than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, o1 is more expensive than Jamba 1.5 Large.*

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
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→

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to o1's 200,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while o1 is limited to 100,000 tokens.

OpenAI
o1
Input200,000 tokens
Output100,000 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sun Jun 07 2026 • llm-stats.com

License

Usage and distribution terms

o1 is licensed under a proprietary license, 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.

o1

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

o1 was released on 2024-12-17, while Jamba 1.5 Large was released on 2024-08-22.

o1 is 4 months newer than Jamba 1.5 Large.

o1

Dec 17, 2024

1.5 years ago

3mo newer
Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while o1'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 o1's cutoff date.

o1

—

Jamba 1.5 Large

Mar 2024

Provider Availability

o1 is available from Azure, OpenAI. Jamba 1.5 Large is available from Bedrock, Google.

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M

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

OpenAI
Higher GPQA score (78.0% vs 36.9%)
Higher GSM8k score (97.1% vs 87.0%)
Higher MMLU score (91.8% vs 81.2%)
AI21 Labs
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about o1 vs Jamba 1.5 Large.

Which is better, o1 or Jamba 1.5 Large?

o1 significantly outperforms across most benchmarks. o1 is made by OpenAI 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 o1 compare to Jamba 1.5 Large in benchmarks?

o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is o1 cheaper than Jamba 1.5 Large?

Jamba 1.5 Large is 7.5x cheaper for input tokens. o1 costs $15.00/M input and $60.00/M output via azure. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.

What are the context window sizes for o1 and Jamba 1.5 Large?

o1 supports 200K 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 o1 and Jamba 1.5 Large?

Key differences include context window (200K vs 256K), input pricing ($15.00 vs $2.00/M), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes o1 and Jamba 1.5 Large?

o1 is developed by OpenAI and Jamba 1.5 Large is developed by AI21 Labs.

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