GPT OSS 120B vs Qwen3 235B-A22B Instruct 2507 vs Qwen3 Coder Plus
GPT OSS 120B comes out ahead, 57 to 52 and 37 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIGPT OSS 120B
57/100- ECI140.0
- Price$0.15 / $0.60
- Context131K
Alibaba (Qwen)Qwen3 235B-A22B Instruct 2507
52/100- ECI138.9
- Price$0.15 / $0.75
- Context262K
- Alibaba (Qwen)
Qwen3 Coder Plus
37/100- ECI—
- Price$1.00 / $5.00
- Context1.05M
GPT OSS 120B is our pick
GPT OSS 120B is the better all-round choice, scoring 57/100 against Qwen3 235B-A22B Instruct 2507 (52) and Qwen3 Coder Plus (37). It leads on price and inputs & features. Qwen3 Coder Plus wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGPT OSS 120BGPT OSS 120B $0.263 · Qwen3 235B-A22B Instruct 2507 $0.30 · Qwen3 Coder Plus $2.00 per 1M tokens (3:1 blend)
- Longest contextQwen3 Coder PlusQwen3 Coder Plus 1,048,576 · Qwen3 235B-A22B Instruct 2507 262,144 · GPT OSS 120B 131,072 tokens
- Widest inputsSame inputsGPT OSS 120B: Text · Qwen3 235B-A22B Instruct 2507: Text · Qwen3 Coder Plus: Text
- Self-hostingGPT OSS 120B and Qwen3 235B-A22B Instruct 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | GPT OSS 120B | Qwen3 235B-A22B Instruct 2507 | Qwen3 Coder Plus |
|---|---|---|---|---|
| Price | 50% | 77 | 75 | 36 |
| Inputs & features | 30% | 45 | 25 | 25 |
| Context window | 20% | 24 | 37 | 61 |
| Overall | 100% | 57/100 | 52/100 | 37/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT OSS 120BOpenAI | Qwen3 235B-A22B Instruct 2507Alibaba (Qwen) | Qwen3 Coder PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 140.0 (best) | 138.9 | — |
| ECI rank | #99 of 148 (best) | #105 of 148 | — |
| GPQA DiamondGraduate-level science questions | 75.8% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 88.9% | — | — |
| Price per million tokens | |||
| Input | $0.15 (best) | $0.15 (best) | $1.00 |
| Output | $0.60 (best) | $0.75 | $5.00 |
| Cached input | — | — | — |
| Blended (3:1) | $0.263 (best) | $0.30 | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 36 providers | Median of 11 providers | Official Alibaba API |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 32,768 tokens | 16,384 tokens | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | OpenApache 2.0 | Proprietary |
| API model ID | — | — | qwen3-coder-plus |
| API providers | 39 (best) | 11 | 11 |
| Released | Aug 5, 2025 | Jul 21, 2025 | Jul 23, 2025 |
| Knowledge cutoff | — | — | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT OSS 120B$2.70
- Qwen3 235B-A22B Instruct 2507$3.00
- Qwen3 Coder Plus$20.00
Which should you choose?
Which is better: GPT OSS 120B, Qwen3 235B-A22B Instruct 2507 or Qwen3 Coder Plus?
GPT OSS 120B is the better all-round choice, scoring 57/100 against Qwen3 235B-A22B Instruct 2507 (52) and Qwen3 Coder Plus (37). It leads on price and inputs & features. Qwen3 Coder Plus wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT OSS 120B, Qwen3 235B-A22B Instruct 2507 or Qwen3 Coder Plus?
GPT OSS 120B is cheaper at $0.15 input / $0.60 output per million tokens (median across 36 API providers). Qwen3 235B-A22B Instruct 2507 costs $0.15 input / $0.75 output per million tokens (median across 11 API providers); Qwen3 Coder Plus costs $1.00 input / $5.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT OSS 120B versus $0.30 for Qwen3 235B-A22B Instruct 2507 (1.1× as much) and $2.00 for Qwen3 Coder Plus (7.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT OSS 120B has an ECI of 140.0, Qwen3 235B-A22B Instruct 2507 has an ECI of 138.9 and Qwen3 Coder Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT OSS 120B, Qwen3 235B-A22B Instruct 2507 and Qwen3 Coder Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3 Coder Plus has the largest context window at 1,048,576 tokens, against 262,144 for Qwen3 235B-A22B Instruct 2507 and 131,072 for GPT OSS 120B. Maximum output per response: GPT OSS 120B up to 32,768, Qwen3 235B-A22B Instruct 2507 up to 16,384, Qwen3 Coder Plus up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT OSS 120B accepts text; Qwen3 235B-A22B Instruct 2507 accepts text; Qwen3 Coder Plus accepts text. They handle the same number of input types.
Are any of these open source?
GPT OSS 120B and Qwen3 235B-A22B Instruct 2507 publishes its weights (Apache 2.0) and can be self-hosted; Qwen3 Coder Plus is proprietary.
Which is newer?
GPT OSS 120B is the newest, released Aug 5, 2025. Qwen3 Coder Plus came out Jul 23, 2025; Qwen3 235B-A22B Instruct 2507 came out Jul 21, 2025. Knowledge cutoff: Qwen3 Coder Plus Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
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