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Comparison · 3 models · Updated Nov 2, 2026

GPT OSS 20B vs Llama 4 Scout 17B Instruct vs Qwen3 30B-A3B Instruct 2507

Too close to call on our weighted score (Llama 4 Scout 17B Instruct 61, GPT OSS 20B 61, Qwen3 30B-A3B Instruct 2507 59). The right pick depends on what you value most.

  1. OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

    61/100
    • ECI137.8
    • Price$0.07 / $0.25
    • Context131K
    Full specs Remove GPT OSS 20B

  2. Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    61/100
    • ECI129.6
    • Price$0.17 / $0.59
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct

  3. 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
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Llama 4 Scout 17B Instruct 61/100, GPT OSS 20B 61/100, Qwen3 30B-A3B Instruct 2507 59/100), so choose by what matters most for your work: GPT OSS 20B for raw capability and Llama 4 Scout 17B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT OSS 20BCapabilities Index (ECI): GPT OSS 20B 137.8 · Qwen3 30B-A3B Instruct 2507 137.3 · Llama 4 Scout 17B Instruct 129.6
  • Lowest priceGPT OSS 20BGPT OSS 20B $0.115 · Qwen3 30B-A3B Instruct 2507 $0.15 · Llama 4 Scout 17B Instruct $0.275 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Qwen3 30B-A3B Instruct 2507 262,144 · GPT OSS 20B 131,072 tokens
  • Widest inputsLlama 4 Scout 17B InstructGPT OSS 20B: Text · Llama 4 Scout 17B Instruct: Text, Images · 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 20BLlama 4 Scout 17B InstructQwen3 30B-A3B Instruct 2507
CapabilityCapabilities Index (ECI)50%615161
Price25%907385
Inputs & features15%355025
Context window10%2510037
Overall100%61/10061/10059/100
02 — Side by side

Every spec in one table

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

GPT OSS 20B vs Llama 4 Scout 17B Instruct vs Qwen3 30B-A3B Instruct 2507 specifications side by side
SpecificationGPT OSS 20BOpenAILlama 4 Scout 17B InstructMetaQwen3 30B-A3B Instruct 2507Alibaba (Qwen)
Capability
Capabilities Index (ECI)137.8 (best)129.6137.3
ECI rank#122 of 165 (best)#138 of 165#124 of 165
GPQA DiamondGraduate-level science questions60.8% (best)51.8%55.6%
OTIS Mock AIME 2024–2025Competition mathematics65.3% (best)7.8%62.2%
Price per million tokens
Input$0.07 (best)$0.17$0.10
Output$0.25 (best)$0.59$0.30
Cached input———
Blended (3:1)$0.115 (best)$0.275$0.15
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 37 providersMedian of 13 providersMedian of 12 providers
Limits
Context window131,072 tokens10,000,000 tokens (best)262,144 tokens
Max output32,768 tokens (best)16,384 tokens16,384 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpenApache 2.0
API model ID———
API providers41 (best)1314
ReleasedAug 5, 2025Apr 5, 2025Jul 28, 2025
Knowledge cutoffJun 2024Aug 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
  • Llama 4 Scout 17B Instruct$2.88
  • Qwen3 30B-A3B Instruct 2507$1.60
04 — Questions

Which should you choose?

Which is better: GPT OSS 20B, Llama 4 Scout 17B Instruct or Qwen3 30B-A3B Instruct 2507?

It is close. Our weighted score puts them within a point (Llama 4 Scout 17B Instruct 61/100, GPT OSS 20B 61/100, Qwen3 30B-A3B Instruct 2507 59/100), so choose by what matters most for your work: GPT OSS 20B for raw capability and Llama 4 Scout 17B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT OSS 20B, Llama 4 Scout 17B Instruct or Qwen3 30B-A3B Instruct 2507?

GPT OSS 20B is cheaper at $0.07 input / $0.25 output per million tokens (median across 37 API providers). Qwen3 30B-A3B Instruct 2507 costs $0.10 input / $0.30 output per million tokens (median across 12 API providers); Llama 4 Scout 17B Instruct costs $0.17 input / $0.59 output per million tokens (median across 13 API providers). At a typical mix of three input tokens to one output token, that is $0.115 per million tokens for GPT OSS 20B versus $0.15 for Qwen3 30B-A3B Instruct 2507 (1.3× as much) and $0.275 for Llama 4 Scout 17B Instruct (2.4× as much).

Which scores higher on benchmarks?

GPT OSS 20B scores higher on the Capabilities Index (ECI): GPT OSS 20B 137.8 (#122 of 165), Qwen3 30B-A3B Instruct 2507 137.3 (#124 of 165) and Llama 4 Scout 17B Instruct 129.6 (#138 of 165). The confidence ranges of the top two overlap (133.1–139.7 vs 131.7–139.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT OSS 20B 60.8%, Qwen3 30B-A3B Instruct 2507 55.6%, Llama 4 Scout 17B Instruct 51.8%; OTIS Mock AIME 2024–2025 — GPT OSS 20B 65.3%, Qwen3 30B-A3B Instruct 2507 62.2%, Llama 4 Scout 17B Instruct 7.8%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT OSS 20B, Llama 4 Scout 17B Instruct and Qwen3 30B-A3B Instruct 2507 yet, so there is no like-for-like coding score. On overall capability, GPT OSS 20B leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 262,144 for Qwen3 30B-A3B Instruct 2507 and 131,072 for GPT OSS 20B. Maximum output per response: GPT OSS 20B up to 32,768, Llama 4 Scout 17B Instruct up to 16,384, Qwen3 30B-A3B Instruct 2507 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GPT OSS 20B accepts text; Llama 4 Scout 17B Instruct accepts text and images; Qwen3 30B-A3B Instruct 2507 accepts text. Llama 4 Scout 17B Instruct handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

GPT OSS 20B is the newest, released Aug 5, 2025. Qwen3 30B-A3B Instruct 2507 came out Jul 28, 2025; Llama 4 Scout 17B Instruct came out Apr 5, 2025. Knowledge cutoff: GPT OSS 20B Jun 2024, Llama 4 Scout 17B Instruct Aug 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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