Model Comparison

GPT OSS 20B vs Jamba 1.5 Large

GPT OSS 20B significantly outperforms across most benchmarks. GPT OSS 20B is 40.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 20B outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Large is better at 0 benchmarks.

GPT OSS 20B significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, GPT OSS 20B ($0.05/1M tokens) is 40.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GPT OSS 20B ($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 GPT OSS 20B.*

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

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
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

377.1B diff

Jamba 1.5 Large has 377.1B more parameters than GPT OSS 20B, making it 1804.3% larger.

OpenAI
GPT OSS 20B
20.9Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
20.9B
GPT OSS 20B
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 GPT OSS 20B's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while GPT OSS 20B is limited to 32,768 tokens.

OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sat May 02 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 20B is licensed under Apache 2.0, 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.

GPT OSS 20B

Apache 2.0

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while Jamba 1.5 Large was released on 2024-08-22.

GPT OSS 20B is 12 months newer than Jamba 1.5 Large.

GPT OSS 20B

Aug 5, 2025

9 months ago

11mo newer
Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while GPT OSS 20B'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 GPT OSS 20B's cutoff date.

GPT OSS 20B

—

Jamba 1.5 Large

Mar 2024

Provider Availability

GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI. Jamba 1.5 Large is available from Bedrock, Google.

GPT OSS 20B

novita logo
Novita
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

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

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Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (71.5% vs 36.9%)
Higher MMLU score (85.3% vs 81.2%)
AI21 Labs
Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 20B
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about GPT OSS 20B vs Jamba 1.5 Large.

Which is better, GPT OSS 20B or Jamba 1.5 Large?

GPT OSS 20B significantly outperforms across most benchmarks. GPT OSS 20B 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 GPT OSS 20B compare to Jamba 1.5 Large in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is GPT OSS 20B cheaper than Jamba 1.5 Large?

GPT OSS 20B is 40.0x cheaper for input tokens. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.

What are the context window sizes for GPT OSS 20B and Jamba 1.5 Large?

GPT OSS 20B 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.

What are the main differences between GPT OSS 20B and Jamba 1.5 Large?

Key differences include context window (131K vs 256K), input pricing ($0.05 vs $2.00/M), licensing (Apache 2.0 vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 20B and Jamba 1.5 Large?

GPT OSS 20B is developed by OpenAI and Jamba 1.5 Large is developed by AI21 Labs.