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Comparison · 3 models · Updated Oct 4, 2026

Qwen3.7 Flash vs Gemma 4 26B A4B IT 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. Google

    Gemma 4 26B A4B IT

    Released Apr 2, 2026

    70/100
    • ECI141.9
    • Price$0.10 / $0.38
    • Context262K
    Full specs Remove Gemma 4 26B A4B IT

  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 Gemma 4 26B A4B IT (70). It leads on price and inputs & features. DeepSeek V4 Flash wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V4 FlashCapabilities Index (ECI): DeepSeek V4 Flash 146.1 · Qwen3.7 Flash 144.6 · Gemma 4 26B A4B IT 141.9
  • Lowest priceQwen3.7 FlashQwen3.7 Flash $0.055 · Gemma 4 26B A4B IT $0.17 · DeepSeek V4 Flash $0.175 per 1M tokens (3:1 blend)
  • Longest contextQwen3.7 Flash and DeepSeek V4 FlashQwen3.7 Flash 1,000,000 · DeepSeek V4 Flash 1,000,000 · Gemma 4 26B A4B IT 262,144 tokens
  • Widest inputsQwen3.7 FlashQwen3.7 Flash: Text, Images, Video · Gemma 4 26B A4B IT: Text, Images · DeepSeek V4 Flash: Text
  • Self-hostingGemma 4 26B A4B IT and DeepSeek V4 FlashPublishes downloadable weights
How the score is built
MeasureWeightQwen3.7 FlashGemma 4 26B A4B ITDeepSeek V4 Flash
CapabilityCapabilities Index (ECI)50%716873
Price25%1008686
Inputs & features15%807045
Context window10%603760
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 Gemma 4 26B A4B IT vs DeepSeek V4 Flash specifications side by side
SpecificationQwen3.7 FlashAlibaba (Qwen)Gemma 4 26B A4B ITGoogleDeepSeek V4 FlashDeepSeek
Capability
Capabilities Index (ECI)144.6141.9146.1 (best)
ECI rank#80 of 148#93 of 148#71 of 148 (best)
GPQA DiamondGraduate-level science questions82.3% (best)73.2%—
FrontierMath Tiers 1–3Research-level mathematics19.3%——
OTIS Mock AIME 2024–2025Competition mathematics86.7% (best)82.2%—
Price per million tokens
Input$0.03 (best)$0.10$0.14
Output$0.13 (best)$0.38$0.28
Cached input$0.003——
Blended (3:1)$0.055 (best)$0.17$0.175
Long-context rateOver 32K: $0.10 / $0.40Same rateSame rate
Price sourceOfficial Alibaba APIMedian of 23 providersMedian of 42 providers
Limits
Context window1,000,000 tokens (best)262,144 tokens1,000,000 tokens (best)
Max output131,072 tokens32,768 tokens384,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoYesNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenOpen
API model IDqwen3.7-flashgemma-4-26b-a4b-it—
API providers122648 (best)
ReleasedJul 15, 2026Apr 2, 2026Apr 24, 2026
Knowledge cutoff——May 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
  • Gemma 4 26B A4B IT$1.76
  • DeepSeek V4 Flash$1.96
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Flash, Gemma 4 26B A4B IT or DeepSeek V4 Flash?

Qwen3.7 Flash is the better all-round choice, scoring 79/100 against DeepSeek V4 Flash (71) and Gemma 4 26B A4B IT (70). It leads on price and inputs & features. DeepSeek V4 Flash wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Flash, Gemma 4 26B A4B IT or DeepSeek V4 Flash?

Qwen3.7 Flash is cheaper at $0.03 input / $0.13 output per million tokens (official Alibaba API price). Gemma 4 26B A4B IT costs $0.10 input / $0.38 output per million tokens (median across 23 API providers); DeepSeek V4 Flash costs $0.14 input / $0.28 output per million tokens (median across 42 API providers). At a typical mix of three input tokens to one output token, that is $0.055 per million tokens for Qwen3.7 Flash versus $0.17 for Gemma 4 26B A4B IT (3.1× as much) and $0.175 for DeepSeek V4 Flash (3.2× as much).

Which scores higher on benchmarks?

DeepSeek V4 Flash scores higher on the Capabilities Index (ECI): DeepSeek V4 Flash 146.1 (#71 of 148), Qwen3.7 Flash 144.6 (#80 of 148) and Gemma 4 26B A4B IT 141.9 (#93 of 148). The confidence ranges of the top two overlap (143.6–147.9 vs 142.4–147.6), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.7 Flash, Gemma 4 26B A4B IT and DeepSeek V4 Flash yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Flash 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 and DeepSeek V4 Flash have the largest context windows (1,000,000 and 1,000,000 tokens), against 262,144 for Gemma 4 26B A4B IT. Maximum output per response: Qwen3.7 Flash up to 131,072, Gemma 4 26B A4B IT up to 32,768, DeepSeek V4 Flash up to 384,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Flash accepts text, images and video; Gemma 4 26B A4B IT accepts text and images; DeepSeek V4 Flash accepts text. Qwen3.7 Flash handles the widest range of inputs.

Are any of these open source?

Gemma 4 26B A4B IT and DeepSeek V4 Flash publishes its weights and can be self-hosted; Qwen3.7 Flash is proprietary.

Which is newer?

Qwen3.7 Flash is the newest, released Jul 15, 2026. DeepSeek V4 Flash came out Apr 24, 2026; Gemma 4 26B A4B IT came out Apr 2, 2026. Knowledge cutoff: 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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