Model Comparison

GPT OSS 20B vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. GPT OSS 20B is 3.6x cheaper per token.

Verdict: GPT OSS 20B vs Qwen3-235B-A22B-Instruct-2507 — which is better?

GPT OSS 20B (by OpenAI) and Qwen3-235B-A22B-Instruct-2507 (by Alibaba Cloud / Qwen Team) 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 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 1 benchmark (GPQA). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

On price, GPT OSS 20B is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Instruct-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT OSS 20B if…

  • cost matters — it's about 3.6x cheaper per token
  • you want the most recent training data — it shipped Aug 2025

Choose Qwen3-235B-A22B-Instruct-2507 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 262,144 token context window
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT OSS 20B outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 1 benchmark (GPQA).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Mon Jun 15 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 3.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, GPT OSS 20B ($0.20/1M tokens) is 4.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than GPT OSS 20B.*

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

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Alibaba Cloud / Qwen Team
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

214.1B diff

Qwen3-235B-A22B-Instruct-2507 has 214.1B more parameters than GPT OSS 20B, making it 1024.4% larger.

OpenAI
GPT OSS 20B
20.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
20.9B
GPT OSS 20B
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 20B's 131,072 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while GPT OSS 20B is limited to 32,768 tokens.

OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Mon Jun 15 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 20B

Apache 2.0

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

GPT OSS 20B is 0 month newer than Qwen3-235B-A22B-Instruct-2507.

GPT OSS 20B

Aug 5, 2025

10 months ago

2w newer
Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

10 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 20B is available from Novita, Fireworks, Groq, OpenAI. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.

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

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher GPQA score (77.5% vs 71.5%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 20B
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about GPT OSS 20B vs Qwen3-235B-A22B-Instruct-2507.

Which is better, GPT OSS 20B or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. GPT OSS 20B 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 20B compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. 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 20B cheaper than Qwen3-235B-A22B-Instruct-2507?

GPT OSS 20B is 3.0x cheaper for input tokens. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita. 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 20B and Qwen3-235B-A22B-Instruct-2507?

GPT OSS 20B 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 20B and Qwen3-235B-A22B-Instruct-2507?

Key differences include context window (131K vs 262K), input pricing ($0.05 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 20B and Qwen3-235B-A22B-Instruct-2507?

GPT OSS 20B is developed by OpenAI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

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