ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-5.3-Flash vs DeepSeek V4 Flash 0731

GLM-5.3-Flash comes out ahead, 80 to 76 on our weighted score, though DeepSeek V4 Flash 0731 is 26% cheaper per token.

  1. Our pick

    Z.ai (Zhipu)

    GLM-5.3-Flash

    Released Aug 26, 2026

    80/100
    • ECI151.9
    • Price$0.15 / $0.50
    • Context1M
  2. DeepSeek

    DeepSeek V4 Flash 0731

    Released Jul 31, 2026

    76/100
    • ECI154.5
    • Price$0.14 / $0.28
    • Context1M
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-5.3-Flash is our pick

GLM-5.3-Flash is the better all-round choice, scoring 80/100 against DeepSeek V4 Flash 0731 (76). It leads on inputs & features. DeepSeek V4 Flash 0731 wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V4 Flash 0731Capabilities Index (ECI): DeepSeek V4 Flash 0731 154.5 · GLM-5.3-Flash 151.9
  • Lowest priceDeepSeek V4 Flash 0731DeepSeek V4 Flash 0731 $0.175 · GLM-5.3-Flash $0.237 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGLM-5.3-Flash 1,000,000 · DeepSeek V4 Flash 0731 1,000,000 tokens
  • Widest inputsGLM-5.3-FlashGLM-5.3-Flash: Text, Images, PDFs, Video · DeepSeek V4 Flash 0731: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-5.3-FlashDeepSeek V4 Flash 0731
CapabilityCapabilities Index (ECI)50%8184
Price25%7986
Inputs & features15%9045
Context window10%6060
Overall100%80/10076/100
02 — Side by side

Every spec in one table

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

GLM-5.3-Flash vs DeepSeek V4 Flash 0731 specifications side by side
SpecificationGLM-5.3-FlashZ.ai (Zhipu)DeepSeek V4 Flash 0731DeepSeek
Capability
Capabilities Index (ECI)151.9154.5 (best)
ECI rank#42 of 148#32 of 148 (best)
GPQA DiamondGraduate-level science questions90.2%91.0% (best)
FrontierMath Tiers 1–3Research-level mathematics55.8%57.5% (best)
OTIS Mock AIME 2024–2025Competition mathematics93.9%94.4% (best)
SimpleQA VerifiedShort factual questions—33.6%
Price per million tokens
Input$0.15$0.14 (best)
Output$0.50$0.28 (best)
Cached input$0.03—
Blended (3:1)$0.237$0.175 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIMedian of 48 providers
Limits
Context window1,000,000 tokens1,000,000 tokens
Max output131,072 tokens384,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoYesNo
ReasoningYeslow · high · maxYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenOpenMIT
API model IDglm-5.3-flash—
API providers65 (best)49
ReleasedAug 26, 2026Jul 31, 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.

  • GLM-5.3-Flash$2.50
  • DeepSeek V4 Flash 0731$1.96
04 — Questions

Which should you choose?

Which is better: GLM-5.3-Flash or DeepSeek V4 Flash 0731?

GLM-5.3-Flash is the better all-round choice, scoring 80/100 against DeepSeek V4 Flash 0731 (76). It leads on inputs & features. DeepSeek V4 Flash 0731 wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-5.3-Flash or DeepSeek V4 Flash 0731?

DeepSeek V4 Flash 0731 is cheaper at $0.14 input / $0.28 output per million tokens (median across 48 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 DeepSeek V4 Flash 0731 versus $0.237 for GLM-5.3-Flash (1.4× as much).

Which scores higher on benchmarks?

DeepSeek V4 Flash 0731 scores higher on the Capabilities Index (ECI): DeepSeek V4 Flash 0731 154.5 (#32 of 148) and GLM-5.3-Flash 151.9 (#42 of 148). The confidence ranges of the top two overlap (152.0–156.6 vs 149.4–154.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek V4 Flash 0731 91.0%, GLM-5.3-Flash 90.2%; FrontierMath Tiers 1–3 — DeepSeek V4 Flash 0731 57.5%, GLM-5.3-Flash 55.8%; OTIS Mock AIME 2024–2025 — DeepSeek V4 Flash 0731 94.4%, GLM-5.3-Flash 93.9%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-5.3-Flash and DeepSeek V4 Flash 0731 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Flash 0731 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

GLM-5.3-Flash and DeepSeek V4 Flash 0731 share the same 1,000,000-token context window. Maximum output per response: GLM-5.3-Flash up to 131,072, DeepSeek V4 Flash 0731 up to 384,000 tokens.

Which can read images, PDFs, audio or video?

GLM-5.3-Flash accepts text, images, PDFs and video; DeepSeek V4 Flash 0731 accepts text. GLM-5.3-Flash handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (MIT), so you can self-host them.

Which is newer?

GLM-5.3-Flash is the newest, released Aug 26, 2026. DeepSeek V4 Flash 0731 came out Jul 31, 2026. Knowledge cutoff: DeepSeek V4 Flash 0731 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.