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Comparison · 3 models · Updated Oct 4, 2026

Qwen3.7 Flash vs Qwen3.7 Plus vs DeepSeek V4 Flash

Qwen3.7 Flash comes out ahead, 79 to 71 and 70 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Alibaba (Qwen)

    Qwen3.7 Flash

    Released Jul 15, 2026

    79/100
    • ECI144.6
    • Price$0.03 / $0.13
    • Context1M
    Full specs Remove Qwen3.7 Flash

  2. Alibaba (Qwen)

    Qwen3.7 Plus

    Released Jun 2, 2026

    70/100
    • ECI147.4
    • Price$0.40 / $1.60
    • Context1M
    Full specs Remove Qwen3.7 Plus

  3. DeepSeek

    DeepSeek V4 Flash

    Released Apr 24, 2026

    71/100
    • ECI146.1
    • Price$0.14 / $0.28
    • Context1M
    Full specs Remove DeepSeek V4 Flash
01 — Verdict

Qwen3.7 Flash is our pick

Qwen3.7 Flash is the better all-round choice, scoring 79/100 against DeepSeek V4 Flash (71) and Qwen3.7 Plus (70). It leads on price. Qwen3.7 Plus wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.7 PlusCapabilities Index (ECI): Qwen3.7 Plus 147.4 · DeepSeek V4 Flash 146.1 · Qwen3.7 Flash 144.6
  • Lowest priceQwen3.7 FlashQwen3.7 Flash $0.055 · DeepSeek V4 Flash $0.175 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameQwen3.7 Flash 1,000,000 · Qwen3.7 Plus 1,000,000 · DeepSeek V4 Flash 1,000,000 tokens
  • Widest inputsQwen3.7 Flash and Qwen3.7 PlusQwen3.7 Flash: Text, Images, Video · Qwen3.7 Plus: Text, Images, Video · DeepSeek V4 Flash: Text
  • Self-hostingDeepSeek V4 FlashPublishes downloadable weights
How the score is built
MeasureWeightQwen3.7 FlashQwen3.7 PlusDeepSeek V4 Flash
CapabilityCapabilities Index (ECI)50%717573
Price25%1005786
Inputs & features15%808045
Context window10%606060
Overall100%79/10070/10071/100
02 — Side by side

Every spec in one table

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

Qwen3.7 Flash vs Qwen3.7 Plus vs DeepSeek V4 Flash specifications side by side
SpecificationQwen3.7 FlashAlibaba (Qwen)Qwen3.7 PlusAlibaba (Qwen)DeepSeek V4 FlashDeepSeek
Capability
Capabilities Index (ECI)144.6147.4 (best)146.1
ECI rank#80 of 148#61 of 148 (best)#71 of 148
GPQA DiamondGraduate-level science questions82.3%87.9% (best)—
FrontierMath Tiers 1–3Research-level mathematics19.3%34.4% (best)—
OTIS Mock AIME 2024–2025Competition mathematics86.7%93.3% (best)—
Price per million tokens
Input$0.03 (best)$0.40$0.14
Output$0.13 (best)$1.60$0.28
Cached input$0.003 (best)$0.04—
Blended (3:1)$0.055 (best)$0.70$0.175
Long-context rateOver 32K: $0.10 / $0.40Over 256K: $1.20 / $4.80Same rate
Price sourceOfficial Alibaba APIOfficial Alibaba APIMedian of 42 providers
Limits
Context window1,000,000 tokens1,000,000 tokens1,000,000 tokens
Max output131,072 tokens64,000 tokens384,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoYesYesNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryOpen
API model IDqwen3.7-flashqwen3.7-plus—
API providers122548 (best)
ReleasedJul 15, 2026Jun 2, 2026Apr 24, 2026
Knowledge cutoff—Apr 2025May 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.

  • Qwen3.7 Flash$0.56
  • Qwen3.7 Plus$7.20
  • DeepSeek V4 Flash$1.96
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Flash, Qwen3.7 Plus or DeepSeek V4 Flash?

Qwen3.7 Flash is the better all-round choice, scoring 79/100 against DeepSeek V4 Flash (71) and Qwen3.7 Plus (70). It leads on price. Qwen3.7 Plus wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Flash, Qwen3.7 Plus or DeepSeek V4 Flash?

Qwen3.7 Flash is cheaper at $0.03 input / $0.13 output per million tokens (official Alibaba API price). DeepSeek V4 Flash costs $0.14 input / $0.28 output per million tokens (median across 42 API providers); Qwen3.7 Plus costs $0.40 input / $1.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.055 per million tokens for Qwen3.7 Flash versus $0.175 for DeepSeek V4 Flash (3.2× as much) and $0.70 for Qwen3.7 Plus (13× as much).

Which scores higher on benchmarks?

Qwen3.7 Plus scores higher on the Capabilities Index (ECI): Qwen3.7 Plus 147.4 (#61 of 148), DeepSeek V4 Flash 146.1 (#71 of 148) and Qwen3.7 Flash 144.6 (#80 of 148). The confidence ranges of the top two overlap (145.7–148.9 vs 143.6–147.9), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.7 Flash, Qwen3.7 Plus and DeepSeek V4 Flash yet, so there is no like-for-like coding score. On overall capability, Qwen3.7 Plus 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?

Qwen3.7 Flash, Qwen3.7 Plus and DeepSeek V4 Flash share the same 1,000,000-token context window. Maximum output per response: Qwen3.7 Flash up to 131,072, Qwen3.7 Plus up to 64,000, DeepSeek V4 Flash up to 384,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Flash accepts text, images and video; Qwen3.7 Plus accepts text, images and video; DeepSeek V4 Flash accepts text. Qwen3.7 Flash handles the widest range of inputs.

Are any of these open source?

DeepSeek V4 Flash publishes its weights and can be self-hosted; Qwen3.7 Flash and Qwen3.7 Plus is proprietary.

Which is newer?

Qwen3.7 Flash is the newest, released Jul 15, 2026. Qwen3.7 Plus came out Jun 2, 2026; DeepSeek V4 Flash came out Apr 24, 2026. Knowledge cutoff: Qwen3.7 Plus Apr 2025, DeepSeek V4 Flash May 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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