ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-4.1 mini vs Qwen3 32B vs Mistral Medium 3

GPT-4.1 mini comes out ahead, 60 to 53 and 51 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. Alibaba (Qwen)

    Qwen3 32B

    Released Apr 29, 2025

    51/100
    • ECI138.5
    • Price$0.70 / $2.80
    • Context131K
  3. Mistral AI

    Mistral Medium 3

    Released May 7, 2025

    53/100
    • ECI134.1
    • Price$0.40 / $2.00
    • Context131K
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 32B (51). It leads on price, inputs & features and context window. Qwen3 32B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3 32BCapabilities Index (ECI): Qwen3 32B 138.5 · 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 32B $1.23 per 1M tokens (3:1 blend)
  • Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Qwen3 32B 131,072 · Mistral Medium 3 131,072 tokens
  • Widest inputsGPT-4.1 miniGPT-4.1 mini: Text, Images, PDFs · Qwen3 32B: Text · Mistral Medium 3: Text, Images
  • Self-hostingQwen3 32BPublishes downloadable weights
How the score is built
MeasureWeightGPT-4.1 miniQwen3 32BMistral Medium 3
CapabilityCapabilities Index (ECI)50%596458
Price25%574654
Inputs & features15%703550
Context window10%612424
Overall100%60/10051/10053/100
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 Qwen3 32B vs Mistral Medium 3 specifications side by side
SpecificationGPT-4.1 miniOpenAIQwen3 32BAlibaba (Qwen)Mistral Medium 3Mistral AI
Capability
Capabilities Index (ECI)135.0138.5 (best)134.1
ECI rank#115 of 148#106 of 148 (best)#117 of 148
GPQA DiamondGraduate-level science questions65.9% (best)65.7%59.5%
FrontierMath Tiers 1–3Research-level mathematics6.7%——
OTIS Mock AIME 2024–2025Competition mathematics44.7%66.9% (best)32.2%
SimpleQA VerifiedShort factual questions12.7%——
Price per million tokens
Input$0.40 (best)$0.70$0.40 (best)
Output$1.60 (best)$2.80$2.00
Cached input$0.10——
Blended (3:1)$0.70 (best)$1.23$0.80
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Alibaba APIOfficial Mistral API
Limits
Context window1,047,576 tokens (best)131,072 tokens131,072 tokens
Max output32,768 tokens16,384 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenProprietary
API model IDgpt-4.1-miniqwen3-32bmistral-medium-2505
API providers24 (best)145
ReleasedApr 14, 2025Apr 29, 2025May 7, 2025
Knowledge cutoffApr 2024Apr 2025May 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
  • Qwen3 32B$12.60
  • Mistral Medium 3$8.00
04 — Questions

Which should you choose?

Which is better: GPT-4.1 mini, Qwen3 32B or Mistral Medium 3?

GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3 (53) and Qwen3 32B (51). It leads on price, inputs & features and context window. Qwen3 32B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4.1 mini, Qwen3 32B or Mistral Medium 3?

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 32B costs $0.70 input / $2.80 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 $1.23 for Qwen3 32B (1.8× as much).

Which scores higher on benchmarks?

Qwen3 32B scores higher on the Capabilities Index (ECI): Qwen3 32B 138.5 (#106 of 148), GPT-4.1 mini 135.0 (#115 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (135.1–140.4 vs 131.2–136.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4.1 mini 65.9%, Qwen3 32B 65.7%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Qwen3 32B 66.9%, 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, Qwen3 32B and Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, Qwen3 32B 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 131,072 for Qwen3 32B and 131,072 for Mistral Medium 3. Maximum output per response: GPT-4.1 mini up to 32,768, Qwen3 32B up to 16,384, Mistral Medium 3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-4.1 mini accepts text, images and PDFs; Qwen3 32B accepts text; Mistral Medium 3 accepts text and images. GPT-4.1 mini handles the widest range of inputs.

Are any of these open source?

Qwen3 32B 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. Qwen3 32B came out Apr 29, 2025; GPT-4.1 mini came out Apr 14, 2025. Knowledge cutoff: GPT-4.1 mini Apr 2024, Qwen3 32B Apr 2025, Mistral Medium 3 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.