Model Comparison

GPT OSS 120B vs Jamba 1.5 Large

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 19.4x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Large is better at 0 benchmarks.

GPT OSS 120B significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B costs less

For input processing, GPT OSS 120B ($0.09/1M tokens) is 22.2x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 17.8x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers

Fri May 15 2026 • llm-stats.com

GPT OSS 120B

Input tokens$0.09

Output tokens$0.45

Best providerDeepinfra

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

281.2B diff

Jamba 1.5 Large has 281.2B more parameters than GPT OSS 120B, making it 240.8% larger.

GPT OSS 120B

116.8Bparameters

Jamba 1.5 Large

398.0Bparameters

116.8B

GPT OSS 120B

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 120B's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while GPT OSS 120B is limited to 131,072 tokens.

GPT OSS 120B

Input131,072 tokens

Output131,072 tokens

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B 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 120B

Apache 2.0

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while Jamba 1.5 Large was released on 2024-08-22.

GPT OSS 120B is 12 months newer than Jamba 1.5 Large.

GPT OSS 120B

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 120B'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 120B's cutoff date.

GPT OSS 120B

—

Jamba 1.5 Large

Mar 2024

Provider Availability

GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Jamba 1.5 Large is available from Bedrock, Google.

GPT OSS 120B

Deepinfra

Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

OpenAI

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Groq

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Jamba 1.5 Large

AWS Bedrock

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

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

GPT OSS 120B

View details

OpenAI

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (80.1% vs 36.9%)

Higher MMLU score (90.0% vs 81.2%)

Jamba 1.5 Large

View details

AI21 Labs

Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	GPT OSS 120B	Jamba 1.5 Large

FAQ

Common questions about GPT OSS 120B vs Jamba 1.5 Large.

Which is better, GPT OSS 120B or Jamba 1.5 Large?

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B 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 120B compare to Jamba 1.5 Large in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. 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 120B cheaper than Jamba 1.5 Large?

GPT OSS 120B is 22.2x cheaper for input tokens. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra. 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 120B and Jamba 1.5 Large?

GPT OSS 120B 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 120B and Jamba 1.5 Large?

Key differences include context window (131K vs 256K), input pricing ($0.09 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 120B and Jamba 1.5 Large?

GPT OSS 120B is developed by OpenAI and Jamba 1.5 Large is developed by AI21 Labs.