Model Comparison

GPT OSS 120B vs Qwen3-Coder

Comparing GPT OSS 120B and Qwen3-Coder across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT OSS 120B and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

For input processing, GPT OSS 120B ($0.09/1M tokens) is 2.0x cheaper than Qwen3-Coder ($0.18/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 2.5x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, GPT OSS 120B and Qwen3-Coder cost the same.*

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

Lowest available price from all providers

Sat May 16 2026 • llm-stats.com

GPT OSS 120B

Input tokens$0.09

Output tokens$0.45

Best providerDeepinfra

Qwen3-Coder

Input tokens$0.18

Output tokens$0.18

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

363.2B diff

Qwen3-Coder has 363.2B more parameters than GPT OSS 120B, making it 311.0% larger.

GPT OSS 120B

116.8Bparameters

Qwen3-Coder

480.0Bparameters

116.8B

GPT OSS 120B

480.0B

Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to GPT OSS 120B's 131,072 tokens. Qwen3-Coder 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

Qwen3-Coder

Input256,000 tokens

Output256,000 tokens

Sat May 16 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

GPT OSS 120B

Apache 2.0

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while Qwen3-Coder was released on 2025-01-01.

GPT OSS 120B is 7 months newer than Qwen3-Coder.

GPT OSS 120B

Aug 5, 2025

9 months ago

7mo newer

Qwen3-Coder

Jan 1, 2025

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. Qwen3-Coder is available from DeepInfra, Fireworks.

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

Qwen3-Coder

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Fireworks

Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M

* 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

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	GPT OSS 120B	Qwen3-Coder

FAQ

Common questions about GPT OSS 120B vs Qwen3-Coder.

Which is better, GPT OSS 120B or Qwen3-Coder?

GPT OSS 120B (OpenAI) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT OSS 120B compare to Qwen3-Coder in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.

Is GPT OSS 120B cheaper than Qwen3-Coder?

GPT OSS 120B is 2.0x cheaper for input tokens. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.

What are the context window sizes for GPT OSS 120B and Qwen3-Coder?

GPT OSS 120B supports 131K tokens and Qwen3-Coder 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 Qwen3-Coder?

Key differences include context window (131K vs 256K), input pricing ($0.09 vs $0.18/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and Qwen3-Coder?

GPT OSS 120B is developed by OpenAI and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.