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Comparison · 3 models · Updated Nov 2, 2026

Qwen3 Coder Flash vs GPT OSS 20B vs ERNIE 4.5 VL 424B A47B

GPT OSS 20B comes out ahead, 61 to 51 and 44 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3 Coder Flash

    Released Jul 28, 2025

    51/100
    • ECI—
    • Price$0.30 / $1.50
    • Context1M
  2. Our pick

    OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

    61/100
    • ECI137.8
    • Price$0.07 / $0.25
    • Context131K
  3. Baidu

    ERNIE 4.5 VL 424B A47B

    Released Jun 30, 2025

    44/100
    • ECI—
    • Price$0.42 / $1.25
    • Context123K
01 — Verdict

GPT OSS 20B is our pick

GPT OSS 20B is the better all-round choice, scoring 61/100 against Qwen3 Coder Flash (51) and ERNIE 4.5 VL 424B A47B (44). It leads on price. Qwen3 Coder Flash wins on context window. 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 · Qwen3 Coder Flash $0.60 · ERNIE 4.5 VL 424B A47B $0.627 per 1M tokens (3:1 blend)
  • Longest contextQwen3 Coder FlashQwen3 Coder Flash 1,000,000 · GPT OSS 20B 131,072 · ERNIE 4.5 VL 424B A47B 123,000 tokens
  • Widest inputsERNIE 4.5 VL 424B A47B Qwen3 Coder Flash: Text · GPT OSS 20B: Text · ERNIE 4.5 VL 424B A47B : Text, Images
  • Self-hostingGPT OSS 20B and ERNIE 4.5 VL 424B A47B Publishes downloadable weights
How the score is built
MeasureWeightQwen3 Coder FlashGPT OSS 20BERNIE 4.5 VL 424B A47B
Price50%589057
Inputs & features30%353535
Context window20%602523
Overall100%51/10061/10044/100

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.

Qwen3 Coder Flash vs GPT OSS 20B vs ERNIE 4.5 VL 424B A47B specifications side by side
SpecificationQwen3 Coder FlashAlibaba (Qwen)GPT OSS 20BOpenAIERNIE 4.5 VL 424B A47B Baidu
Capability
Capabilities Index (ECI)—137.8—
ECI rank—#122 of 165—
GPQA DiamondGraduate-level science questions—60.8%—
OTIS Mock AIME 2024–2025Competition mathematics—65.3%—
Price per million tokens
Input$0.30$0.07 (best)$0.42
Output$1.50$0.25 (best)$1.25
Cached input$0.06——
Blended (3:1)$0.60$0.115 (best)$0.627
Long-context rateOver 32K: $0.50 / $2.50Same rateSame rate
Price sourceOfficial Alibaba APIMedian of 37 providersMedian of 1 providers
Limits
Context window1,000,000 tokens (best)131,072 tokens123,000 tokens
Max output65,536 tokens (best)32,768 tokens16,000 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesYes
Tool callingYesYesNo
Structured outputYesNoNo
Availability
WeightsProprietaryOpenOpen
API model IDqwen3-coder-flash——
API providers1041 (best)1
ReleasedJul 28, 2025Aug 5, 2025Jun 30, 2025
Knowledge cutoffApr 2025Jun 2024Mar 31, 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 Coder Flash$6.00
  • GPT OSS 20B$1.20
  • ERNIE 4.5 VL 424B A47B $6.70
04 — Questions

Which should you choose?

Which is better: Qwen3 Coder Flash, GPT OSS 20B or ERNIE 4.5 VL 424B A47B ?

GPT OSS 20B is the better all-round choice, scoring 61/100 against Qwen3 Coder Flash (51) and ERNIE 4.5 VL 424B A47B (44). It leads on price. Qwen3 Coder Flash wins on context window. 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, Qwen3 Coder Flash, GPT OSS 20B or ERNIE 4.5 VL 424B A47B ?

GPT OSS 20B is cheaper at $0.07 input / $0.25 output per million tokens (median across 37 API providers). Qwen3 Coder Flash costs $0.30 input / $1.50 output per million tokens (official Alibaba API price); ERNIE 4.5 VL 424B A47B costs $0.42 input / $1.25 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.115 per million tokens for GPT OSS 20B versus $0.60 for Qwen3 Coder Flash (5.2× as much) and $0.627 for ERNIE 4.5 VL 424B A47B (5.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen3 Coder Flash has not been scored yet, GPT OSS 20B has an ECI of 137.8 and ERNIE 4.5 VL 424B A47B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Coder Flash, GPT OSS 20B and ERNIE 4.5 VL 424B A47B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that ERNIE 4.5 VL 424B A47B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Qwen3 Coder Flash has the largest context window at 1,000,000 tokens, against 131,072 for GPT OSS 20B and 123,000 for ERNIE 4.5 VL 424B A47B . Maximum output per response: Qwen3 Coder Flash up to 65,536, GPT OSS 20B up to 32,768, ERNIE 4.5 VL 424B A47B up to 16,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Coder Flash accepts text; GPT OSS 20B accepts text; ERNIE 4.5 VL 424B A47B accepts text and images. ERNIE 4.5 VL 424B A47B handles the widest range of inputs.

Are any of these open source?

GPT OSS 20B and ERNIE 4.5 VL 424B A47B publishes its weights and can be self-hosted; Qwen3 Coder Flash is proprietary.

Which is newer?

GPT OSS 20B is the newest, released Aug 5, 2025. Qwen3 Coder Flash came out Jul 28, 2025; ERNIE 4.5 VL 424B A47B came out Jun 30, 2025. Knowledge cutoff: Qwen3 Coder Flash Apr 2025, GPT OSS 20B Jun 2024, ERNIE 4.5 VL 424B A47B Mar 31, 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 Nov 2, 2026.