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Comparison · 2 models · Updated Nov 2, 2026

GPT OSS 20B vs Qwen Flash

Qwen Flash comes out ahead, 69 to 61 on our weighted score, though GPT OSS 20B is 16% cheaper per token.

  1. OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

    61/100
    • ECI137.8
    • Price$0.07 / $0.25
    • Context131K
  2. Our pick

    Alibaba (Qwen)

    Qwen Flash

    Released Jul 28, 2025

    69/100
    • ECI—
    • Price$0.05 / $0.40
    • Context1M
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen Flash is our pick

Qwen Flash is the better all-round choice, scoring 69/100 against GPT OSS 20B (61). It leads on inputs & features and context window. GPT OSS 20B wins on price. 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 20BGPT OSS 20B $0.115 · Qwen Flash $0.138 per 1M tokens (3:1 blend)
  • Longest contextQwen FlashQwen Flash 1,000,000 · GPT OSS 20B 131,072 tokens
  • Widest inputsSame inputsGPT OSS 20B: Text · Qwen Flash: Text
  • Self-hostingGPT OSS 20BPublishes downloadable weights
How the score is built
MeasureWeightGPT OSS 20BQwen Flash
Price50%9087
Inputs & features30%3545
Context window20%2560
Overall100%61/10069/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

GPT OSS 20B vs Qwen Flash specifications side by side
SpecificationGPT OSS 20BOpenAIQwen FlashAlibaba (Qwen)
Capability
Capabilities Index (ECI)137.8—
ECI rank#122 of 165—
GPQA DiamondGraduate-level science questions60.8%—
OTIS Mock AIME 2024–2025Competition mathematics65.3%—
Price per million tokens
Input$0.07$0.05 (best)
Output$0.25 (best)$0.40
Cached input—$0.01
Blended (3:1)$0.115 (best)$0.138
Long-context rateSame rateOver 256K: $0.25 / $2.00
Price sourceMedian of 37 providersOfficial Alibaba API
Limits
Context window131,072 tokens1,000,000 tokens (best)
Max output32,768 tokens32,768 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model ID—qwen-flash
API providers41 (best)6
ReleasedAug 5, 2025Jul 28, 2025
Knowledge cutoffJun 2024Apr 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 20B$1.20
  • Qwen Flash$1.30
04 — Questions

Which should you choose?

Which is better: GPT OSS 20B or Qwen Flash?

Qwen Flash is the better all-round choice, scoring 69/100 against GPT OSS 20B (61). It leads on inputs & features and context window. GPT OSS 20B wins on price. 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 20B or Qwen Flash?

GPT OSS 20B is cheaper at $0.07 input / $0.25 output per million tokens (median across 37 API providers). Qwen Flash costs $0.05 input / $0.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.115 per million tokens for GPT OSS 20B versus $0.138 for Qwen Flash (1.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. GPT OSS 20B has an ECI of 137.8 and Qwen Flash has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GPT OSS 20B and Qwen Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen Flash has the largest context window at 1,000,000 tokens, against 131,072 for GPT OSS 20B. Maximum output per response: GPT OSS 20B up to 32,768, Qwen Flash up to 32,768 tokens.

Which can read images, PDFs, audio or video?

GPT OSS 20B accepts text; Qwen Flash accepts text. They handle the same number of input types.

Are any of these open source?

GPT OSS 20B publishes its weights and can be self-hosted; Qwen Flash is proprietary.

Which is newer?

GPT OSS 20B is the newest, released Aug 5, 2025. Qwen Flash came out Jul 28, 2025. Knowledge cutoff: GPT OSS 20B Jun 2024, Qwen Flash Apr 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.