ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-4.1 mini vs Mistral Medium 3 vs Qwen3 Max

GPT-4.1 mini comes out ahead, 60 to 53 and 50 on our weighted score, and it is the cheaper option too.

  1. Our pick

    OpenAI

    GPT-4.1 mini

    Released Apr 14, 2025

    60/100
    • ECI135.0
    • Price$0.40 / $1.60
    • Context1.05M
  2. Mistral AI

    Mistral Medium 3

    Released May 7, 2025

    53/100
    • ECI134.1
    • Price$0.40 / $2.00
    • Context131K
  3. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
01 — Verdict

GPT-4.1 mini is our pick

GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3 (53) and Qwen3 Max (50). It leads on price, inputs & features and context window. Qwen3 Max wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3 MaxCapabilities Index (ECI): Qwen3 Max 142.4 · GPT-4.1 mini 135.0 · Mistral Medium 3 134.1
  • Lowest priceGPT-4.1 miniGPT-4.1 mini $0.70 · Mistral Medium 3 $0.80 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Qwen3 Max 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 Max: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-4.1 miniMistral Medium 3Qwen3 Max
CapabilityCapabilities Index (ECI)50%595868
Price25%575432
Inputs & features15%705025
Context window10%612437
Overall100%60/10053/10050/100
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 Max specifications side by side
SpecificationGPT-4.1 miniOpenAIMistral Medium 3Mistral AIQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)135.0134.1142.4 (best)
ECI rank#115 of 148#117 of 148#91 of 148 (best)
GPQA DiamondGraduate-level science questions65.9%59.5%72.6% (best)
FrontierMath Tiers 1–3Research-level mathematics6.7%—19.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics44.7%32.2%73.3% (best)
SimpleQA VerifiedShort factual questions12.7%—48.8% (best)
Price per million tokens
Input$0.40 (best)$0.40 (best)$1.20
Output$1.60 (best)$2.00$6.00
Cached input$0.10——
Blended (3:1)$0.70 (best)$0.80$2.40
Long-context rateSame rateSame rateSame rate
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
WeightsProprietaryProprietaryProprietary
API model IDgpt-4.1-minimistral-medium-2505qwen3-max
API providers24 (best)516
ReleasedApr 14, 2025May 7, 2025Sep 23, 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 Max$24.00
04 — Questions

Which should you choose?

Which is better: GPT-4.1 mini, Mistral Medium 3 or Qwen3 Max?

GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3 (53) and Qwen3 Max (50). It leads on price, inputs & features and context window. Qwen3 Max wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4.1 mini, Mistral Medium 3 or Qwen3 Max?

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 Max costs $1.20 input / $6.00 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 $2.40 for Qwen3 Max (3.4× as much).

Which scores higher on benchmarks?

Qwen3 Max scores higher on the Capabilities Index (ECI): Qwen3 Max 142.4 (#91 of 148), GPT-4.1 mini 135.0 (#115 of 148) and Mistral Medium 3 134.1 (#117 of 148). Their confidence ranges do not overlap (140.0–144.6 vs 131.2–136.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3 Max 72.6%, GPT-4.1 mini 65.9%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Qwen3 Max 73.3%, GPT-4.1 mini 44.7%, Mistral Medium 3 32.2%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4.1 mini, Mistral Medium 3 and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Qwen3 Max 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?

GPT-4.1 mini has the largest context window at 1,047,576 tokens, against 262,144 for Qwen3 Max 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 Max 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 Max accepts text. GPT-4.1 mini handles the widest range of inputs.

Are any of these open source?

No. GPT-4.1 mini, Mistral Medium 3 and Qwen3 Max are proprietary and only available through APIs and apps.

Which is newer?

Qwen3 Max is the newest, released Sep 23, 2025. Mistral Medium 3 came out May 7, 2025; GPT-4.1 mini came out Apr 14, 2025. Knowledge cutoff: GPT-4.1 mini Apr 2024, Mistral Medium 3 May 2025, Qwen3 Max 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.