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Comparison · 2 models · Updated Oct 4, 2026

Qwen3 14B vs GPT OSS 120B

GPT OSS 120B comes out ahead, 61 to 54 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3 14B

    Released Apr 29, 2025

    54/100
    • ECI138.2
    • Price$0.35 / $1.40
    • Context131K
    Full specs Remove Qwen3 14B
  2. Our pick

    OpenAI

    GPT OSS 120B

    Released Aug 5, 2025

    61/100
    • ECI140.0
    • Price$0.15 / $0.60
    • Context131K
    Full specs Remove GPT OSS 120B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT OSS 120B is our pick

GPT OSS 120B is the better all-round choice, scoring 61/100 against Qwen3 14B (54). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT OSS 120BCapabilities Index (ECI): GPT OSS 120B 140.0 · Qwen3 14B 138.2
  • Lowest priceGPT OSS 120BGPT OSS 120B $0.263 · Qwen3 14B $0.613 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameQwen3 14B 131,072 · GPT OSS 120B 131,072 tokens
  • Widest inputsSame inputsQwen3 14B: 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 14BGPT OSS 120B
CapabilityCapabilities Index (ECI)50%6365
Price25%6077
Inputs & features15%3545
Context window10%2424
Overall100%54/10061/100
02 — Side by side

Every spec in one table

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

Qwen3 14B vs GPT OSS 120B specifications side by side
SpecificationQwen3 14BAlibaba (Qwen)GPT OSS 120BOpenAI
Capability
Capabilities Index (ECI)138.2140.0 (best)
ECI rank#107 of 148#99 of 148 (best)
GPQA DiamondGraduate-level science questions63.8%75.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics66.4%88.9% (best)
Price per million tokens
Input$0.35$0.15 (best)
Output$1.40$0.60 (best)
Cached input——
Blended (3:1)$0.613$0.263 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIMedian of 36 providers
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model IDqwen3-14b—
API providers139 (best)
ReleasedApr 29, 2025Aug 5, 2025
Knowledge cutoffApr 2025—
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 14B$6.30
  • GPT OSS 120B$2.70
04 — Questions

Which should you choose?

Which is better: Qwen3 14B or GPT OSS 120B?

GPT OSS 120B is the better all-round choice, scoring 61/100 against Qwen3 14B (54). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3 14B or GPT OSS 120B?

GPT OSS 120B is cheaper at $0.15 input / $0.60 output per million tokens (median across 36 API providers). Qwen3 14B costs $0.35 input / $1.40 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 $0.613 for Qwen3 14B (2.3× as much).

Which scores higher on benchmarks?

GPT OSS 120B scores higher on the Capabilities Index (ECI): GPT OSS 120B 140.0 (#99 of 148) and Qwen3 14B 138.2 (#107 of 148). The confidence ranges of the top two overlap (135.3–142.3 vs 133.5–140.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT OSS 120B 75.8%, Qwen3 14B 63.8%; OTIS Mock AIME 2024–2025 — GPT OSS 120B 88.9%, Qwen3 14B 66.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 14B 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 14B and GPT OSS 120B share the same 131,072-token context window. Maximum output per response: Qwen3 14B up to 8,192, GPT OSS 120B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Qwen3 14B 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, so you can self-host them.

Which is newer?

GPT OSS 120B is the newest, released Aug 5, 2025. Qwen3 14B came out Apr 29, 2025. Knowledge cutoff: Qwen3 14B 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.

05 — Keep comparing

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