ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3-Coder 30B-A3B Instruct vs Mistral Medium 3 vs GLM-4.5V

Too close to call on our weighted score (GLM-4.5V 49, Mistral Medium 3 47, Qwen3-Coder 30B-A3B Instruct 41). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3-Coder 30B-A3B Instruct

    Released Apr 2025

    41/100
    • ECI—
    • Price$0.45 / $2.25
    • Context262K
  2. Mistral AI

    Mistral Medium 3

    Released May 7, 2025

    47/100
    • ECI134.1
    • Price$0.40 / $2.00
    • Context131K
  3. Z.ai (Zhipu)

    GLM-4.5V

    Released Aug 11, 2025

    49/100
    • ECI—
    • Price$0.60 / $1.80
    • Context64K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (GLM-4.5V 49/100, Mistral Medium 3 47/100, Qwen3-Coder 30B-A3B Instruct 41/100), so choose by what matters most for your work: Mistral Medium 3 on price and Qwen3-Coder 30B-A3B Instruct for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceMistral Medium 3Mistral Medium 3 $0.80 · Qwen3-Coder 30B-A3B Instruct $0.90 · GLM-4.5V $0.90 per 1M tokens (3:1 blend)
  • Longest contextQwen3-Coder 30B-A3B InstructQwen3-Coder 30B-A3B Instruct 262,144 · Mistral Medium 3 131,072 · GLM-4.5V 64,000 tokens
  • Widest inputsGLM-4.5VQwen3-Coder 30B-A3B Instruct: Text · Mistral Medium 3: Text, Images · GLM-4.5V: Text, Images, Video
  • Self-hostingQwen3-Coder 30B-A3B Instruct and GLM-4.5VPublishes downloadable weights
How the score is built
MeasureWeightQwen3-Coder 30B-A3B InstructMistral Medium 3GLM-4.5V
Price50%525452
Inputs & features30%255070
Context window20%372412
Overall100%41/10047/10049/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Qwen3-Coder 30B-A3B Instruct vs Mistral Medium 3 vs GLM-4.5V specifications side by side
SpecificationQwen3-Coder 30B-A3B InstructAlibaba (Qwen)Mistral Medium 3Mistral AIGLM-4.5VZ.ai (Zhipu)
Capability
Capabilities Index (ECI)—134.1—
ECI rank—#117 of 148—
GPQA DiamondGraduate-level science questions—59.5%—
OTIS Mock AIME 2024–2025Competition mathematics—32.2%—
Price per million tokens
Input$0.45$0.40 (best)$0.60
Output$2.25$2.00$1.80 (best)
Cached input———
Blended (3:1)$0.90$0.80 (best)$0.90
Long-context rateOver 32K: $0.75 / $3.75Same rateSame rate
Price sourceOfficial Alibaba APIOfficial Mistral APIOfficial Z.AI API
Limits
Context window262,144 tokens (best)131,072 tokens64,000 tokens
Max output65,536 tokens131,072 tokens (best)16,384 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningNoNoYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenProprietaryOpen
API model IDqwen3-coder-30b-a3b-instructmistral-medium-2505glm-4.5v
API providers13 (best)511
ReleasedApr 2025May 7, 2025Aug 11, 2025
Knowledge cutoffApr 2025May 2025Apr 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.

  • Qwen3-Coder 30B-A3B Instruct$9.00
  • Mistral Medium 3$8.00
  • GLM-4.5V$9.60
04 — Questions

Which should you choose?

Which is better: Qwen3-Coder 30B-A3B Instruct, Mistral Medium 3 or GLM-4.5V?

It is close. Our weighted score puts them within 2 points (GLM-4.5V 49/100, Mistral Medium 3 47/100, Qwen3-Coder 30B-A3B Instruct 41/100), so choose by what matters most for your work: Mistral Medium 3 on price and Qwen3-Coder 30B-A3B Instruct for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Qwen3-Coder 30B-A3B Instruct, Mistral Medium 3 or GLM-4.5V?

Mistral Medium 3 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Qwen3-Coder 30B-A3B Instruct costs $0.45 input / $2.25 output per million tokens (official Alibaba API price); GLM-4.5V costs $0.60 input / $1.80 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.80 per million tokens for Mistral Medium 3 versus $0.90 for Qwen3-Coder 30B-A3B Instruct (1.1× as much) and $0.90 for GLM-4.5V (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen3-Coder 30B-A3B Instruct has not been scored yet, Mistral Medium 3 has an ECI of 134.1 and GLM-4.5V has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3-Coder 30B-A3B Instruct, Mistral Medium 3 and GLM-4.5V yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Qwen3-Coder 30B-A3B Instruct has the largest context window at 262,144 tokens, against 131,072 for Mistral Medium 3 and 64,000 for GLM-4.5V. Maximum output per response: Qwen3-Coder 30B-A3B Instruct up to 65,536, Mistral Medium 3 up to 131,072, GLM-4.5V up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Qwen3-Coder 30B-A3B Instruct accepts text; Mistral Medium 3 accepts text and images; GLM-4.5V accepts text, images and video. GLM-4.5V handles the widest range of inputs.

Are any of these open source?

Qwen3-Coder 30B-A3B Instruct and GLM-4.5V publishes its weights and can be self-hosted; Mistral Medium 3 is proprietary.

Which is newer?

GLM-4.5V is the newest, released Aug 11, 2025. Mistral Medium 3 came out May 7, 2025; Qwen3-Coder 30B-A3B Instruct came out Apr 2025. Knowledge cutoff: Qwen3-Coder 30B-A3B Instruct Apr 2025, Mistral Medium 3 May 2025, GLM-4.5V Apr 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.