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Comparison · 3 models · Updated Oct 4, 2026

DeepSeek V4 Flash vs Gemma 4 31B IT vs Qwen3.7 Flash

Qwen3.7 Flash comes out ahead, 79 to 71 and 69 on our weighted score, and it is the cheaper option too.

  1. DeepSeek

    DeepSeek V4 Flash

    Released Apr 24, 2026

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

  2. Google

    Gemma 4 31B IT

    Released Apr 2, 2026

    69/100
    • ECI142.8
    • Price$0.14 / $0.40
    • Context262K
    Full specs Remove Gemma 4 31B IT
  3. 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
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 31B IT (69). 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 31B IT 142.8
  • Lowest priceQwen3.7 FlashQwen3.7 Flash $0.055 · DeepSeek V4 Flash $0.175 · Gemma 4 31B IT $0.205 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V4 Flash and Qwen3.7 FlashDeepSeek V4 Flash 1,000,000 · Qwen3.7 Flash 1,000,000 · Gemma 4 31B IT 262,144 tokens
  • Widest inputsQwen3.7 FlashDeepSeek V4 Flash: Text · Gemma 4 31B IT: Text, Images · Qwen3.7 Flash: Text, Images, Video
  • Self-hostingDeepSeek V4 Flash and Gemma 4 31B ITPublishes downloadable weights
How the score is built
MeasureWeightDeepSeek V4 FlashGemma 4 31B ITQwen3.7 Flash
CapabilityCapabilities Index (ECI)50%736971
Price25%8683100
Inputs & features15%457080
Context window10%603760
Overall100%71/10069/10079/100
02 — Side by side

Every spec in one table

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

DeepSeek V4 Flash vs Gemma 4 31B IT vs Qwen3.7 Flash specifications side by side
SpecificationDeepSeek V4 FlashDeepSeekGemma 4 31B ITGoogleQwen3.7 FlashAlibaba (Qwen)
Capability
Capabilities Index (ECI)146.1 (best)142.8144.6
ECI rank#71 of 148 (best)#86 of 148#80 of 148
GPQA DiamondGraduate-level science questions—75.8%82.3% (best)
FrontierMath Tiers 1–3Research-level mathematics——19.3%
OTIS Mock AIME 2024–2025Competition mathematics—73.3%86.7% (best)
SimpleQA VerifiedShort factual questions—10.4%—
Price per million tokens
Input$0.14$0.14$0.03 (best)
Output$0.28$0.40$0.13 (best)
Cached input——$0.003
Blended (3:1)$0.175$0.205$0.055 (best)
Long-context rateSame rateSame rateOver 32K: $0.10 / $0.40
Price sourceMedian of 42 providersMedian of 30 providersOfficial Alibaba API
Limits
Context window1,000,000 tokens (best)262,144 tokens1,000,000 tokens (best)
Max output384,000 tokens (best)32,768 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenOpenProprietary
API model ID—gemma-4-31b-itqwen3.7-flash
API providers48 (best)3812
ReleasedApr 24, 2026Apr 2, 2026Jul 15, 2026
Knowledge cutoffMay 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.

  • DeepSeek V4 Flash$1.96
  • Gemma 4 31B IT$2.20
  • Qwen3.7 Flash$0.56
04 — Questions

Which should you choose?

Which is better: DeepSeek V4 Flash, Gemma 4 31B IT or Qwen3.7 Flash?

Qwen3.7 Flash is the better all-round choice, scoring 79/100 against DeepSeek V4 Flash (71) and Gemma 4 31B IT (69). 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, DeepSeek V4 Flash, Gemma 4 31B IT or Qwen3.7 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); Gemma 4 31B IT costs $0.14 input / $0.40 output per million tokens (median across 30 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 $0.175 for DeepSeek V4 Flash (3.2× as much) and $0.205 for Gemma 4 31B IT (3.7× 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 31B IT 142.8 (#86 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 DeepSeek V4 Flash, Gemma 4 31B IT and Qwen3.7 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?

DeepSeek V4 Flash and Qwen3.7 Flash have the largest context windows (1,000,000 and 1,000,000 tokens), against 262,144 for Gemma 4 31B IT. Maximum output per response: DeepSeek V4 Flash up to 384,000, Gemma 4 31B IT up to 32,768, Qwen3.7 Flash up to 131,072 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V4 Flash accepts text; Gemma 4 31B IT accepts text and images; Qwen3.7 Flash accepts text, images and video. Qwen3.7 Flash handles the widest range of inputs.

Are any of these open source?

DeepSeek V4 Flash and Gemma 4 31B IT 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 31B 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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