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Comparison · 3 models · Updated Oct 4, 2026

Gemma 4 31B IT vs GLM-5.3-Flash vs Qwen3.5 Flash

GLM-5.3-Flash comes out ahead, 80 to 75 and 69 on our weighted score, though Qwen3.5 Flash is 26% cheaper per token.

  1. Google

    Gemma 4 31B IT

    Released Apr 2, 2026

    69/100
    • ECI142.8
    • Price$0.14 / $0.40
    • Context262K
  2. Our pick

    Z.ai (Zhipu)

    GLM-5.3-Flash

    Released Aug 26, 2026

    80/100
    • ECI151.9
    • Price$0.15 / $0.50
    • Context1M
  3. Alibaba (Qwen)

    Qwen3.5 Flash

    Released Feb 23, 2026

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

GLM-5.3-Flash is our pick

GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Qwen3.5 Flash (75) and Gemma 4 31B IT (69). It leads on capability and inputs & features. Qwen3.5 Flash wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-5.3-FlashCapabilities Index (ECI): GLM-5.3-Flash 151.9 · Qwen3.5 Flash 144.0 · Gemma 4 31B IT 142.8
  • Lowest priceQwen3.5 FlashQwen3.5 Flash $0.175 · Gemma 4 31B IT $0.205 · GLM-5.3-Flash $0.237 per 1M tokens (3:1 blend)
  • Longest contextGLM-5.3-Flash and Qwen3.5 FlashGLM-5.3-Flash 1,000,000 · Qwen3.5 Flash 1,000,000 · Gemma 4 31B IT 262,144 tokens
  • Widest inputsGLM-5.3-FlashGemma 4 31B IT: Text, Images · GLM-5.3-Flash: Text, Images, PDFs, Video · Qwen3.5 Flash: Text, Images, Video
  • Self-hostingGemma 4 31B IT and GLM-5.3-FlashPublishes downloadable weights
How the score is built
MeasureWeightGemma 4 31B ITGLM-5.3-FlashQwen3.5 Flash
CapabilityCapabilities Index (ECI)50%698171
Price25%837986
Inputs & features15%709080
Context window10%376060
Overall100%69/10080/10075/100
02 — Side by side

Every spec in one table

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

Gemma 4 31B IT vs GLM-5.3-Flash vs Qwen3.5 Flash specifications side by side
SpecificationGemma 4 31B ITGoogleGLM-5.3-FlashZ.ai (Zhipu)Qwen3.5 FlashAlibaba (Qwen)
Capability
Capabilities Index (ECI)142.8151.9 (best)144.0
ECI rank#86 of 148#42 of 148 (best)#82 of 148
GPQA DiamondGraduate-level science questions75.8%90.2% (best)82.3%
FrontierMath Tiers 1–3Research-level mathematics—55.8% (best)18.3%
OTIS Mock AIME 2024–2025Competition mathematics73.3%93.9% (best)84.4%
SimpleQA VerifiedShort factual questions10.4%—20.3% (best)
Price per million tokens
Input$0.14$0.15$0.10 (best)
Output$0.40 (best)$0.50$0.40 (best)
Cached input—$0.03$0.01 (best)
Blended (3:1)$0.205$0.237$0.175 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 30 providersOfficial Z.AI APIOfficial Alibaba API
Limits
Context window262,144 tokens1,000,000 tokens (best)1,000,000 tokens (best)
Max output32,768 tokens131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesNo
AudioNoNoNo
VideoNoYesYes
ReasoningYesYeslow · high · maxYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenOpenProprietary
API model IDgemma-4-31b-itglm-5.3-flashqwen3.5-flash
API providers3865 (best)8
ReleasedApr 2, 2026Aug 26, 2026Feb 23, 2026
Knowledge cutoff———
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 31B IT$2.20
  • GLM-5.3-Flash$2.50
  • Qwen3.5 Flash$1.80
04 — Questions

Which should you choose?

Which is better: Gemma 4 31B IT, GLM-5.3-Flash or Qwen3.5 Flash?

GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Qwen3.5 Flash (75) and Gemma 4 31B IT (69). It leads on capability and inputs & features. Qwen3.5 Flash wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemma 4 31B IT, GLM-5.3-Flash or Qwen3.5 Flash?

Qwen3.5 Flash is cheaper at $0.10 input / $0.40 output per million tokens (official Alibaba API price). Gemma 4 31B IT costs $0.14 input / $0.40 output per million tokens (median across 30 API providers); GLM-5.3-Flash costs $0.15 input / $0.50 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Qwen3.5 Flash versus $0.205 for Gemma 4 31B IT (1.2× as much) and $0.237 for GLM-5.3-Flash (1.4× as much).

Which scores higher on benchmarks?

GLM-5.3-Flash scores higher on the Capabilities Index (ECI): GLM-5.3-Flash 151.9 (#42 of 148), Qwen3.5 Flash 144.0 (#82 of 148) and Gemma 4 31B IT 142.8 (#86 of 148). Their confidence ranges do not overlap (149.4–154.3 vs 141.6–145.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — GLM-5.3-Flash 90.2%, Qwen3.5 Flash 82.3%, Gemma 4 31B IT 75.8%; OTIS Mock AIME 2024–2025 — GLM-5.3-Flash 93.9%, Qwen3.5 Flash 84.4%, Gemma 4 31B IT 73.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemma 4 31B IT, GLM-5.3-Flash and Qwen3.5 Flash yet, so there is no like-for-like coding score. On overall capability, GLM-5.3-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?

GLM-5.3-Flash and Qwen3.5 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: Gemma 4 31B IT up to 32,768, GLM-5.3-Flash up to 131,072, Qwen3.5 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Gemma 4 31B IT accepts text and images; GLM-5.3-Flash accepts text, images, PDFs and video; Qwen3.5 Flash accepts text, images and video. GLM-5.3-Flash handles the widest range of inputs.

Are any of these open source?

Gemma 4 31B IT and GLM-5.3-Flash publishes its weights and can be self-hosted; Qwen3.5 Flash is proprietary.

Which is newer?

GLM-5.3-Flash is the newest, released Aug 26, 2026. Gemma 4 31B IT came out Apr 2, 2026; Qwen3.5 Flash came out Feb 23, 2026.

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.