ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Flash-Lite vs GLM-5.3-Flash vs Mistral Small 3.2

GLM-5.3-Flash comes out ahead, 80 to 71 and 60 on our weighted score, though Mistral Small 3.2 is 37% cheaper per token.

  1. Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    71/100
    • ECI133.9
    • Price$0.10 / $0.40
    • Context1.05M
  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. Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025

    60/100
    • ECI131.7
    • Price$0.10 / $0.30
    • Context128K
01 — Verdict

GLM-5.3-Flash is our pick

GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Gemini 2.5 Flash-Lite (71) and Mistral Small 3.2 (60). It leads on capability. Gemini 2.5 Flash-Lite wins on inputs & features. Mistral Small 3.2 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 · Gemini 2.5 Flash-Lite 133.9 · Mistral Small 3.2 131.7
  • Lowest priceMistral Small 3.2Mistral Small 3.2 $0.15 · Gemini 2.5 Flash-Lite $0.175 · GLM-5.3-Flash $0.237 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · GLM-5.3-Flash 1,000,000 · Mistral Small 3.2 128,000 tokens
  • Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · GLM-5.3-Flash: Text, Images, PDFs, Video · Mistral Small 3.2: Text, Images
  • Self-hostingGLM-5.3-Flash and Mistral Small 3.2Publishes downloadable weights
How the score is built
MeasureWeightGemini 2.5 Flash-LiteGLM-5.3-FlashMistral Small 3.2
CapabilityCapabilities Index (ECI)50%588155
Price25%867989
Inputs & features15%1009050
Context window10%616024
Overall100%71/10080/10060/100
02 — Side by side

Every spec in one table

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

Gemini 2.5 Flash-Lite vs GLM-5.3-Flash vs Mistral Small 3.2 specifications side by side
SpecificationGemini 2.5 Flash-LiteGoogleGLM-5.3-FlashZ.ai (Zhipu)Mistral Small 3.2Mistral AI
Capability
Capabilities Index (ECI)133.9151.9 (best)131.7
ECI rank#118 of 148#42 of 148 (best)#123 of 148
GPQA DiamondGraduate-level science questions—90.2% (best)49.1%
FrontierMath Tiers 1–3Research-level mathematics—55.8%—
OTIS Mock AIME 2024–2025Competition mathematics—93.9% (best)30.3%
Price per million tokens
Input$0.10 (best)$0.15$0.10 (best)
Output$0.40$0.50$0.30 (best)
Cached input$0.01 (best)$0.03—
Blended (3:1)$0.175$0.237$0.15 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Google APIOfficial Z.AI APIOfficial Mistral API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens128,000 tokens
Max output65,536 tokens131,072 tokens (best)16,384 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesNo
AudioYesNoNo
VideoYesYesNo
ReasoningYesYeslow · high · maxNo
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryOpenOpen
API model IDgemini-2.5-flash-liteglm-5.3-flashmistral-small-2506
API providers2065 (best)6
ReleasedJun 17, 2025Aug 26, 2026Jun 20, 2025
Knowledge cutoffJan 2025—Mar 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.

  • Gemini 2.5 Flash-Lite$1.80
  • GLM-5.3-Flash$2.50
  • Mistral Small 3.2$1.60
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Flash-Lite, GLM-5.3-Flash or Mistral Small 3.2?

GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Gemini 2.5 Flash-Lite (71) and Mistral Small 3.2 (60). It leads on capability. Gemini 2.5 Flash-Lite wins on inputs & features. Mistral Small 3.2 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 2.5 Flash-Lite, GLM-5.3-Flash or Mistral Small 3.2?

Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price); 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 $0.15 per million tokens for Mistral Small 3.2 versus $0.175 for Gemini 2.5 Flash-Lite (1.2× as much) and $0.237 for GLM-5.3-Flash (1.6× 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), Gemini 2.5 Flash-Lite 133.9 (#118 of 148) and Mistral Small 3.2 131.7 (#123 of 148). Their confidence ranges do not overlap (149.4–154.3 vs 129.8–136.3), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.5 Flash-Lite, GLM-5.3-Flash and Mistral Small 3.2 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?

Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 1,000,000 for GLM-5.3-Flash and 128,000 for Mistral Small 3.2. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, GLM-5.3-Flash up to 131,072, Mistral Small 3.2 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; GLM-5.3-Flash accepts text, images, PDFs and video; Mistral Small 3.2 accepts text and images. Gemini 2.5 Flash-Lite handles the widest range of inputs.

Are any of these open source?

GLM-5.3-Flash and Mistral Small 3.2 publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.

Which is newer?

GLM-5.3-Flash is the newest, released Aug 26, 2026. Mistral Small 3.2 came out Jun 20, 2025; Gemini 2.5 Flash-Lite came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 2025, Mistral Small 3.2 Mar 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.