Model Comparison

GPT OSS 20B vs Llama 3.3 70B InstructWhich is better in 2026?

Both models are evenly matched across the benchmarks. GPT OSS 20B is 2.3x cheaper per token.

Verdict: GPT OSS 20B vs Llama 3.3 70B Instruct — which is better?

GPT OSS 20B (by OpenAI) and Llama 3.3 70B Instruct (by Meta) 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.

GPT OSS 20B outperforms in 1 benchmarks (GPQA), while Llama 3.3 70B Instruct is better at 1 benchmark (MMLU). Both models are evenly matched across the benchmarks.

On price, GPT OSS 20B is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT OSS 20B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT OSS 20B if…

  • cost matters — it's about 2.3x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Aug 2025

Choose Llama 3.3 70B Instruct if…

  • you want predictable pricing at $0.20/M input and $0.20/M output

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 20B outperforms in 1 benchmarks (GPQA), while Llama 3.3 70B Instruct is better at 1 benchmark (MMLU).

Both models are evenly matched across the benchmarks.

Sun Jul 26 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 4.0x cheaper than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, GPT OSS 20B ($0.20/1M tokens) costs the same as Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Llama 3.3 70B Instruct is more expensive than GPT OSS 20B.*

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

Lowest available price from all providers
Sun Jul 26 2026 • llm-stats.com
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
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

49.1B diff

Llama 3.3 70B Instruct has 49.1B more parameters than GPT OSS 20B, making it 234.9% larger.

OpenAI
GPT OSS 20B
20.9Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
20.9B
GPT OSS 20B
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

GPT OSS 20B accepts 131,072 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while GPT OSS 20B is limited to 32,768 tokens.

OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Jul 26 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 20B 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 20B

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 20B was released on 2025-08-05, while Llama 3.3 70B Instruct was released on 2024-12-06.

GPT OSS 20B is 8 months newer than Llama 3.3 70B Instruct.

GPT OSS 20B

Aug 5, 2025

11 months ago

8mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.6 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 20B is available from Novita, Fireworks, Groq, OpenAI. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

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

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (131,072 tokens)
Less expensive input tokens
Higher GPQA score (71.5% vs 50.5%)
Meta
Higher MMLU score (86.0% vs 85.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT OSS 20B and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

GPT OSS 20B
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT OSS 20B
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about GPT OSS 20B vs Llama 3.3 70B Instruct.

Which is better, GPT OSS 20B or Llama 3.3 70B Instruct?

Both models are evenly matched across the benchmarks. GPT OSS 20B 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.

How does GPT OSS 20B compare to Llama 3.3 70B Instruct in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is GPT OSS 20B cheaper than Llama 3.3 70B Instruct?

GPT OSS 20B is 4.0x cheaper for input tokens. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for GPT OSS 20B and Llama 3.3 70B Instruct?

GPT OSS 20B 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.

What are the main differences between GPT OSS 20B and Llama 3.3 70B Instruct?

Key differences include context window (131K vs 128K), input pricing ($0.05 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.

Who makes GPT OSS 20B and Llama 3.3 70B Instruct?

GPT OSS 20B is developed by OpenAI and Llama 3.3 70B Instruct is developed by Meta.

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