ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-4.1 mini vs Mistral Medium 3 vs Qwen3-Coder 30B-A3B Instruct

GPT-4.1 mini comes out ahead, 62 to 47 and 41 on our weighted score, and it is the cheaper option too.

  1. Our pick

    OpenAI

    GPT-4.1 mini

    Released Apr 14, 2025

    62/100
    • ECI135.0
    • Price$0.40 / $1.60
    • Context1.05M
  2. Mistral AI

    Mistral Medium 3

    Released May 7, 2025

    47/100
    • ECI134.1
    • Price$0.40 / $2.00
    • Context131K
  3. Alibaba (Qwen)

    Qwen3-Coder 30B-A3B Instruct

    Released Apr 2025

    41/100
    • ECI—
    • Price$0.45 / $2.25
    • Context262K
01 — Verdict

GPT-4.1 mini is our pick

GPT-4.1 mini is the better all-round choice, scoring 62/100 against Mistral Medium 3 (47) and Qwen3-Coder 30B-A3B Instruct (41). It leads on price, inputs & features and context window. 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 priceGPT-4.1 miniGPT-4.1 mini $0.70 · Mistral Medium 3 $0.80 · Qwen3-Coder 30B-A3B Instruct $0.90 per 1M tokens (3:1 blend)
  • Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Qwen3-Coder 30B-A3B Instruct 262,144 · Mistral Medium 3 131,072 tokens
  • Widest inputsGPT-4.1 miniGPT-4.1 mini: Text, Images, PDFs · Mistral Medium 3: Text, Images · Qwen3-Coder 30B-A3B Instruct: Text
  • Self-hostingQwen3-Coder 30B-A3B InstructPublishes downloadable weights
How the score is built
MeasureWeightGPT-4.1 miniMistral Medium 3Qwen3-Coder 30B-A3B Instruct
Price50%575452
Inputs & features30%705025
Context window20%612437
Overall100%62/10047/10041/100

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.

GPT-4.1 mini vs Mistral Medium 3 vs Qwen3-Coder 30B-A3B Instruct specifications side by side
SpecificationGPT-4.1 miniOpenAIMistral Medium 3Mistral AIQwen3-Coder 30B-A3B InstructAlibaba (Qwen)
Capability
Capabilities Index (ECI)135.0 (best)134.1—
ECI rank#115 of 148 (best)#117 of 148—
GPQA DiamondGraduate-level science questions65.9% (best)59.5%—
FrontierMath Tiers 1–3Research-level mathematics6.7%——
OTIS Mock AIME 2024–2025Competition mathematics44.7% (best)32.2%—
SimpleQA VerifiedShort factual questions12.7%——
Price per million tokens
Input$0.40 (best)$0.40 (best)$0.45
Output$1.60 (best)$2.00$2.25
Cached input$0.10——
Blended (3:1)$0.70 (best)$0.80$0.90
Long-context rateSame rateSame rateOver 32K: $0.75 / $3.75
Price sourceOfficial OpenAI APIOfficial Mistral APIOfficial Alibaba API
Limits
Context window1,047,576 tokens (best)131,072 tokens262,144 tokens
Max output32,768 tokens131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryProprietaryOpen
API model IDgpt-4.1-minimistral-medium-2505qwen3-coder-30b-a3b-instruct
API providers24 (best)513
ReleasedApr 14, 2025May 7, 2025Apr 2025
Knowledge cutoffApr 2024May 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.

  • GPT-4.1 mini$7.20
  • Mistral Medium 3$8.00
  • Qwen3-Coder 30B-A3B Instruct$9.00
04 — Questions

Which should you choose?

Which is better: GPT-4.1 mini, Mistral Medium 3 or Qwen3-Coder 30B-A3B Instruct?

GPT-4.1 mini is the better all-round choice, scoring 62/100 against Mistral Medium 3 (47) and Qwen3-Coder 30B-A3B Instruct (41). It leads on price, inputs & features and context window. 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, GPT-4.1 mini, Mistral Medium 3 or Qwen3-Coder 30B-A3B Instruct?

GPT-4.1 mini is cheaper at $0.40 input / $1.60 output per million tokens (official OpenAI API price). Mistral Medium 3 costs $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). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for GPT-4.1 mini versus $0.80 for Mistral Medium 3 (1.1× as much) and $0.90 for Qwen3-Coder 30B-A3B Instruct (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GPT-4.1 mini has an ECI of 135.0, Mistral Medium 3 has an ECI of 134.1 and Qwen3-Coder 30B-A3B Instruct has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4.1 mini, Mistral Medium 3 and Qwen3-Coder 30B-A3B Instruct 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?

GPT-4.1 mini has the largest context window at 1,047,576 tokens, against 262,144 for Qwen3-Coder 30B-A3B Instruct and 131,072 for Mistral Medium 3. Maximum output per response: GPT-4.1 mini up to 32,768, Mistral Medium 3 up to 131,072, Qwen3-Coder 30B-A3B Instruct up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-4.1 mini accepts text, images and PDFs; Mistral Medium 3 accepts text and images; Qwen3-Coder 30B-A3B Instruct accepts text. GPT-4.1 mini handles the widest range of inputs.

Are any of these open source?

Qwen3-Coder 30B-A3B Instruct publishes its weights and can be self-hosted; GPT-4.1 mini and Mistral Medium 3 is proprietary.

Which is newer?

Mistral Medium 3 is the newest, released May 7, 2025. GPT-4.1 mini came out Apr 14, 2025; Qwen3-Coder 30B-A3B Instruct came out Apr 2025. Knowledge cutoff: GPT-4.1 mini Apr 2024, Mistral Medium 3 May 2025, Qwen3-Coder 30B-A3B Instruct 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.