Model Comparison

GPT OSS 120B vs Qwen3-235B-A22B-Instruct-2507

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT OSS 120B outperforms in 1 benchmarks (GPQA), while Qwen3-235B-A22B-Instruct-2507 is better at 0 benchmarks.

GPT OSS 120B significantly outperforms across most benchmarks.

Mon May 11 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 1.7x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 1.8x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers

Mon May 11 2026 • llm-stats.com

GPT OSS 120B

Input tokens$0.09

Output tokens$0.45

Best providerDeepinfra

Qwen3-235B-A22B-Instruct-2507

Input tokens$0.15

Output tokens$0.80

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

118.2B diff

Qwen3-235B-A22B-Instruct-2507 has 118.2B more parameters than GPT OSS 120B, making it 101.2% larger.

GPT OSS 120B

116.8Bparameters

Qwen3-235B-A22B-Instruct-2507

235.0Bparameters

116.8B

GPT OSS 120B

235.0B

Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to GPT OSS 120B's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

GPT OSS 120B

Input131,072 tokens

Output131,072 tokens

Qwen3-235B-A22B-Instruct-2507

Input262,144 tokens

Output131,072 tokens

Mon May 11 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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

GPT OSS 120B is 0 month newer than Qwen3-235B-A22B-Instruct-2507.

GPT OSS 120B

Aug 5, 2025

9 months ago

2w newer

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months 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. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.

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

Qwen3-235B-A22B-Instruct-2507

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT OSS 120B

View details

OpenAI

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (80.1% vs 77.5%)

Qwen3-235B-A22B-Instruct-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	GPT OSS 120B	Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about GPT OSS 120B vs Qwen3-235B-A22B-Instruct-2507.

Which is better, GPT OSS 120B or Qwen3-235B-A22B-Instruct-2507?

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is made by OpenAI and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 120B compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

Is GPT OSS 120B cheaper than Qwen3-235B-A22B-Instruct-2507?

GPT OSS 120B is 1.7x cheaper for input tokens. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.

What are the context window sizes for GPT OSS 120B and Qwen3-235B-A22B-Instruct-2507?

GPT OSS 120B supports 131K tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507?

Key differences include context window (131K vs 262K), input pricing ($0.09 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and Qwen3-235B-A22B-Instruct-2507?

GPT OSS 120B is developed by OpenAI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.