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Comparison · 2 models · Updated Nov 2, 2026

Qwen3 30B-A3B Instruct 2507 vs GPT OSS 120B

Too close to call on our weighted score (Qwen3 30B-A3B Instruct 2507 59, GPT OSS 120B 58). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3 30B-A3B Instruct 2507

    Released Jul 28, 2025

    59/100
    • ECI137.3
    • Price$0.10 / $0.30
    • Context262K
    Full specs Remove Qwen3 30B-A3B Instruct 2507

  2. OpenAI

    GPT OSS 120B

    Released Aug 5, 2025

    58/100
    • ECI139.8
    • Price$0.15 / $0.60
    • Context131K
    Full specs Remove GPT OSS 120B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen3 30B-A3B Instruct 2507 59/100, GPT OSS 120B 58/100), so choose by what matters most for your work: GPT OSS 120B for raw capability, Qwen3 30B-A3B Instruct 2507 on price and Qwen3 30B-A3B Instruct 2507 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT OSS 120BCapabilities Index (ECI): GPT OSS 120B 139.8 · Qwen3 30B-A3B Instruct 2507 137.3
  • Lowest priceQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 $0.15 · GPT OSS 120B $0.263 per 1M tokens (3:1 blend)
  • Longest contextQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 262,144 · GPT OSS 120B 131,072 tokens
  • Widest inputsSame inputsQwen3 30B-A3B Instruct 2507: Text · GPT OSS 120B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen3 30B-A3B Instruct 2507GPT OSS 120B
CapabilityCapabilities Index (ECI)50%6164
Price25%8574
Inputs & features15%2535
Context window10%3725
Overall100%59/10058/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Qwen3 30B-A3B Instruct 2507 vs GPT OSS 120B specifications side by side
SpecificationQwen3 30B-A3B Instruct 2507Alibaba (Qwen)GPT OSS 120BOpenAI
Capability
Capabilities Index (ECI)137.3139.8 (best)
ECI rank#124 of 165#114 of 165 (best)
GPQA DiamondGraduate-level science questions55.6%75.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics62.2%88.9% (best)
Price per million tokens
Input$0.10 (best)$0.15
Output$0.30 (best)$0.60
Cached input——
Blended (3:1)$0.15 (best)$0.263
Long-context rateSame rateSame rate
Price sourceMedian of 12 providersMedian of 65 providers
Limits
Context window262,144 tokens (best)131,072 tokens
Max output16,384 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache 2.0Open
API model ID——
API providers1467 (best)
ReleasedJul 28, 2025Aug 5, 2025
Knowledge cutoff—Jun 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Qwen3 30B-A3B Instruct 2507$1.60
  • GPT OSS 120B$2.70
04 — Questions

Which should you choose?

Which is better: Qwen3 30B-A3B Instruct 2507 or GPT OSS 120B?

It is close. Our weighted score puts them within a point (Qwen3 30B-A3B Instruct 2507 59/100, GPT OSS 120B 58/100), so choose by what matters most for your work: GPT OSS 120B for raw capability, Qwen3 30B-A3B Instruct 2507 on price and Qwen3 30B-A3B Instruct 2507 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3 30B-A3B Instruct 2507 or GPT OSS 120B?

Qwen3 30B-A3B Instruct 2507 is cheaper at $0.10 input / $0.30 output per million tokens (median across 12 API providers). GPT OSS 120B costs $0.15 input / $0.60 output per million tokens (median across 65 API providers). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Qwen3 30B-A3B Instruct 2507 versus $0.263 for GPT OSS 120B (1.8× as much).

Which scores higher on benchmarks?

GPT OSS 120B scores higher on the Capabilities Index (ECI): GPT OSS 120B 139.8 (#114 of 165) and Qwen3 30B-A3B Instruct 2507 137.3 (#124 of 165). The confidence ranges of the top two overlap (135.6–142.2 vs 131.7–139.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT OSS 120B 75.8%, Qwen3 30B-A3B Instruct 2507 55.6%; OTIS Mock AIME 2024–2025 — GPT OSS 120B 88.9%, Qwen3 30B-A3B Instruct 2507 62.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 30B-A3B Instruct 2507 and GPT OSS 120B yet, so there is no like-for-like coding score. On overall capability, GPT OSS 120B leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3 30B-A3B Instruct 2507 has the largest context window at 262,144 tokens, against 131,072 for GPT OSS 120B. Maximum output per response: Qwen3 30B-A3B Instruct 2507 up to 16,384, GPT OSS 120B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Qwen3 30B-A3B Instruct 2507 accepts text; GPT OSS 120B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Apache 2.0), so you can self-host them.

Which is newer?

GPT OSS 120B is the newest, released Aug 5, 2025. Qwen3 30B-A3B Instruct 2507 came out Jul 28, 2025. Knowledge cutoff: GPT OSS 120B Jun 2024.

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 Nov 2, 2026.

05 — Keep comparing

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