Which is cheaper, gpt-oss-120b or Qwen3-235B-A22B?

gpt-oss-120b costs $0.1/$0.5 per million input/output tokens, while Qwen3-235B-A22B costs $0.22/$0.88. For a typical workload of 10M input and 1.5M output tokens per month, that's $1.75 versus $3.52.

Which model is better for coding, gpt-oss-120b or Qwen3-235B-A22B?

We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

gpt-oss-120b vs Qwen3-235B-A22B

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

gpt-oss-120b

OpenAI · Aug 2025

OpenAI's open-weights MoE reasoning model under Apache 2.0 — near o4-mini quality, runnable on a single 80GB GPU.

Qwen3-235B-A22B

Alibaba (Qwen) · Jul 2025

69.0

The most popular open general-purpose Qwen: 235B MoE with hybrid thinking, a staple of the 2025 open-source ecosystem.

The verdict

gpt-oss-120b wins 2 of the 3 benchmarks these models share, against 1 for Qwen3-235B-A22B. gpt-oss-120b is about 1.9x cheaper per blended million tokens (3:1 input:output mix). Qwen3-235B-A22B also takes 262K of context versus 131K for gpt-oss-120b.

Benchmark head-to-head 2–1

GPQA Diamond

80.1%81.1%

gpt-oss-120bQwen3-235B-A22B

AIME 2025

~92.5%92.3%

gpt-oss-120bQwen3-235B-A22B

HLE

19%~18.2%

gpt-oss-120bQwen3-235B-A22B

Specs & pricing

	gpt-oss-120b	Qwen3-235B-A22B
modhub Index	—	69.0
Input price / 1M	$0.1	$0.22
Output price / 1M	$0.5	$0.88
Context window	131K	262K
Max output	131K	33K
Open weights	yes (Apache 2.0)	yes (Apache 2.0)
Reasoning model	yes	yes
Multimodal input	text	text
Knowledge cutoff	Jun 2024	Apr 2025
Released	Aug 2025	Jul 2025
Example monthly cost*	$1.75	$3.52

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, gpt-oss-120b or Qwen3-235B-A22B?: gpt-oss-120b wins 2 of the 3 benchmarks these models share, against 1 for Qwen3-235B-A22B. gpt-oss-120b is about 1.9x cheaper per blended million tokens (3:1 input:output mix). Qwen3-235B-A22B also takes 262K of context versus 131K for gpt-oss-120b.
Which is cheaper, gpt-oss-120b or Qwen3-235B-A22B?: gpt-oss-120b costs $0.1/$0.5 per million input/output tokens, while Qwen3-235B-A22B costs $0.22/$0.88. For a typical workload of 10M input and 1.5M output tokens per month, that's $1.75 versus $3.52.
Which model is better for coding, gpt-oss-120b or Qwen3-235B-A22B?: We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

More comparisons

gpt-oss-120b vs GPT-5.5 Qwen3-235B-A22B vs GPT-5.5 gpt-oss-120b vs GPT-5.2 Qwen3-235B-A22B vs GPT-5.2 gpt-oss-120b vs GPT-5.1 Qwen3-235B-A22B vs GPT-5.1 gpt-oss-120b vs GPT-5 Qwen3-235B-A22B vs GPT-5 gpt-oss-120b vs GPT-5 mini Qwen3-235B-A22B vs GPT-5 mini gpt-oss-120b vs OpenAI o3 Qwen3-235B-A22B vs OpenAI o3