Model Comparison

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

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

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, Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens) is 1.7x more expensive than GPT OSS 120B ($0.09/1M tokens).

For output processing, Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens) is 1.8x more expensive than GPT OSS 120B ($0.45/1M 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
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
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.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
OpenAI
GPT OSS 120B
116.8Bparameters
235.0B
Qwen3-235B-A22B-Instruct-2507
116.8B
GPT OSS 120B

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.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
OpenAI
GPT OSS 120B
Input131,072 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.

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

GPT OSS 120B

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months ago

GPT OSS 120B

Aug 5, 2025

9 months ago

2w newer

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

Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.

Qwen3-235B-A22B-Instruct-2507

fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (80.1% vs 77.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
OpenAI
GPT OSS 120B

FAQ

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

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

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

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

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

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

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

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

Qwen3-235B-A22B-Instruct-2507 supports 262K tokens and GPT OSS 120B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3-235B-A22B-Instruct-2507 and GPT OSS 120B?

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

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

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