Model Comparison

GPT OSS 120B vs Llama 3.3 70B Instruct

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 1.1x 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 Llama 3.3 70B Instruct is better at 0 benchmarks.

GPT OSS 120B significantly outperforms across most benchmarks.

Wed Apr 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 2.2x cheaper than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 2.3x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Llama 3.3 70B Instruct is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

46.8B diff

GPT OSS 120B has 46.8B more parameters than Llama 3.3 70B Instruct, making it 66.9% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
116.8B
GPT OSS 120B
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

GPT OSS 120B accepts 131,072 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while Llama 3.3 70B Instruct is limited to 128,000 tokens.

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

License differences may affect how you can use these models in commercial or open-source projects.

GPT OSS 120B

Apache 2.0

Open weights

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while Llama 3.3 70B Instruct was released on 2024-12-06.

GPT OSS 120B is 8 months newer than Llama 3.3 70B Instruct.

GPT OSS 120B

Aug 5, 2025

8 months ago

8mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

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

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (131,072 tokens)
Less expensive input tokens
Higher GPQA score (80.1% vs 50.5%)
Higher MMLU score (90.0% vs 86.0%)
Meta
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about GPT OSS 120B vs Llama 3.3 70B Instruct

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is made by OpenAI and Llama 3.3 70B Instruct is made by Meta. 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%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.
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. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.
GPT OSS 120B supports 131K tokens and Llama 3.3 70B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.09 vs $0.20/M), licensing (Apache 2.0 vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
GPT OSS 120B is developed by OpenAI and Llama 3.3 70B Instruct is developed by Meta.