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Comparison · 2 models · Updated Nov 2, 2026

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

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. OpenAI

    GPT OSS 120B

    Released Aug 5, 2025

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

  2. 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

  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 inputsGPT OSS 120B: Text · Qwen3 30B-A3B Instruct 2507: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGPT OSS 120BQwen3 30B-A3B Instruct 2507
CapabilityCapabilities Index (ECI)50%6461
Price25%7485
Inputs & features15%3525
Context window10%2537
Overall100%58/10059/100
02 — Side by side

Every spec in one table

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

GPT OSS 120B vs Qwen3 30B-A3B Instruct 2507 specifications side by side
SpecificationGPT OSS 120BOpenAIQwen3 30B-A3B Instruct 2507Alibaba (Qwen)
Capability
Capabilities Index (ECI)139.8 (best)137.3
ECI rank#114 of 165 (best)#124 of 165
GPQA DiamondGraduate-level science questions75.8% (best)55.6%
OTIS Mock AIME 2024–2025Competition mathematics88.9% (best)62.2%
Price per million tokens
Input$0.15$0.10 (best)
Output$0.60$0.30 (best)
Cached input——
Blended (3:1)$0.263$0.15 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 65 providersMedian of 12 providers
Limits
Context window131,072 tokens262,144 tokens (best)
Max output32,768 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpenApache 2.0
API model ID——
API providers67 (best)14
ReleasedAug 5, 2025Jul 28, 2025
Knowledge cutoffJun 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.

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

Which should you choose?

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

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

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 GPT OSS 120B and Qwen3 30B-A3B Instruct 2507 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: GPT OSS 120B up to 32,768, Qwen3 30B-A3B Instruct 2507 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GPT OSS 120B accepts text; Qwen3 30B-A3B Instruct 2507 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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