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Comparison · 3 models · Updated Oct 4, 2026

Gemma 4 26B A4B IT vs DeepSeek V4 Flash vs Qwen3.5 Flash

Qwen3.5 Flash comes out ahead, 75 to 71 and 70 on our weighted score.

  1. Google

    Gemma 4 26B A4B IT

    Released Apr 2, 2026

    70/100
    • ECI141.9
    • Price$0.10 / $0.38
    • Context262K
  2. DeepSeek

    DeepSeek V4 Flash

    Released Apr 24, 2026

    71/100
    • ECI146.1
    • Price$0.14 / $0.28
    • Context1M
  3. Our pick

    Alibaba (Qwen)

    Qwen3.5 Flash

    Released Feb 23, 2026

    75/100
    • ECI144.0
    • Price$0.10 / $0.40
    • Context1M
01 — Verdict

Qwen3.5 Flash is our pick

Qwen3.5 Flash is the better all-round choice, scoring 75/100 against DeepSeek V4 Flash (71) and Gemma 4 26B A4B IT (70). It leads on 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 · Qwen3.5 Flash 144.0 · Gemma 4 26B A4B IT 141.9
  • Lowest priceGemma 4 26B A4B ITGemma 4 26B A4B IT $0.17 · DeepSeek V4 Flash $0.175 · Qwen3.5 Flash $0.175 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V4 Flash and Qwen3.5 FlashDeepSeek V4 Flash 1,000,000 · Qwen3.5 Flash 1,000,000 · Gemma 4 26B A4B IT 262,144 tokens
  • Widest inputsQwen3.5 FlashGemma 4 26B A4B IT: Text, Images · DeepSeek V4 Flash: Text · Qwen3.5 Flash: Text, Images, Video
  • Self-hostingGemma 4 26B A4B IT and DeepSeek V4 FlashPublishes downloadable weights
How the score is built
MeasureWeightGemma 4 26B A4B ITDeepSeek V4 FlashQwen3.5 Flash
CapabilityCapabilities Index (ECI)50%687371
Price25%868686
Inputs & features15%704580
Context window10%376060
Overall100%70/10071/10075/100
02 — Side by side

Every spec in one table

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

Gemma 4 26B A4B IT vs DeepSeek V4 Flash vs Qwen3.5 Flash specifications side by side
SpecificationGemma 4 26B A4B ITGoogleDeepSeek V4 FlashDeepSeekQwen3.5 FlashAlibaba (Qwen)
Capability
Capabilities Index (ECI)141.9146.1 (best)144.0
ECI rank#93 of 148#71 of 148 (best)#82 of 148
GPQA DiamondGraduate-level science questions73.2%—82.3% (best)
FrontierMath Tiers 1–3Research-level mathematics——18.3%
OTIS Mock AIME 2024–2025Competition mathematics82.2%—84.4% (best)
SimpleQA VerifiedShort factual questions——20.3%
Price per million tokens
Input$0.10 (best)$0.14$0.10 (best)
Output$0.38$0.28 (best)$0.40
Cached input——$0.01
Blended (3:1)$0.17 (best)$0.175$0.175
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 23 providersMedian of 42 providersOfficial Alibaba API
Limits
Context window262,144 tokens1,000,000 tokens (best)1,000,000 tokens (best)
Max output32,768 tokens384,000 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenOpenProprietary
API model IDgemma-4-26b-a4b-it—qwen3.5-flash
API providers2648 (best)8
ReleasedApr 2, 2026Apr 24, 2026Feb 23, 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.

  • Gemma 4 26B A4B IT$1.76
  • DeepSeek V4 Flash$1.96
  • Qwen3.5 Flash$1.80
04 — Questions

Which should you choose?

Which is better: Gemma 4 26B A4B IT, DeepSeek V4 Flash or Qwen3.5 Flash?

Qwen3.5 Flash is the better all-round choice, scoring 75/100 against DeepSeek V4 Flash (71) and Gemma 4 26B A4B IT (70). It leads on inputs & features. DeepSeek V4 Flash wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemma 4 26B A4B IT, DeepSeek V4 Flash or Qwen3.5 Flash?

Gemma 4 26B A4B IT is cheaper at $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); Qwen3.5 Flash costs $0.10 input / $0.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.17 per million tokens for Gemma 4 26B A4B IT versus $0.175 for DeepSeek V4 Flash (1× as much) and $0.175 for Qwen3.5 Flash (1× 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), Qwen3.5 Flash 144.0 (#82 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 141.6–145.5), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Gemma 4 26B A4B IT, DeepSeek V4 Flash and Qwen3.5 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 Qwen3.5 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: Gemma 4 26B A4B IT up to 32,768, DeepSeek V4 Flash up to 384,000, Qwen3.5 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Gemma 4 26B A4B IT accepts text and images; DeepSeek V4 Flash accepts text; Qwen3.5 Flash accepts text, images and video. Qwen3.5 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; Qwen3.5 Flash is proprietary.

Which is newer?

DeepSeek V4 Flash is the newest, released Apr 24, 2026. Gemma 4 26B A4B IT came out Apr 2, 2026; Qwen3.5 Flash came out Feb 23, 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.