Model Comparison

GPT OSS 120B vs Jamba 1.5 Mini

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

GPT OSS 120B significantly outperforms across most benchmarks.

Mon Apr 20 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 2.2x cheaper than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 1.1x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

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

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

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

64.8B diff

GPT OSS 120B has 64.8B more parameters than Jamba 1.5 Mini, making it 124.6% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
116.8B
GPT OSS 120B
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to GPT OSS 120B's 131,072 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT OSS 120B is limited to 131,072 tokens.

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Mon Apr 20 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while Jamba 1.5 Mini 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 Mini

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 Mini was released on 2024-08-22.

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

GPT OSS 120B

Aug 5, 2025

8 months ago

11mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini 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 Mini'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 Mini

Mar 2024

Provider Availability

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

GPT OSS 120B

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M
novita logo
Novita
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
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Less expensive input tokens
Higher GPQA score (80.1% vs 32.3%)
Higher MMLU score (90.0% vs 69.7%)
AI21 Labs
Larger context window (256,144 tokens)
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about GPT OSS 120B vs Jamba 1.5 Mini

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is made by OpenAI and Jamba 1.5 Mini is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.
GPT OSS 120B is 2.2x cheaper for input tokens. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.
GPT OSS 120B supports 131K tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 256K), input pricing ($0.09 vs $0.20/M), licensing (Apache 2.0 vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
GPT OSS 120B is developed by OpenAI and Jamba 1.5 Mini is developed by AI21 Labs.