ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-4.1 mini vs Qwen3.5 Plus vs Mistral Medium 3

Qwen3.5 Plus comes out ahead, 66 to 60 and 53 on our weighted score, though GPT-4.1 mini is 22% cheaper per token.

  1. OpenAI

    GPT-4.1 mini

    Released Apr 14, 2025

    60/100
    • ECI135.0
    • Price$0.40 / $1.60
    • Context1.05M
  2. Our pick

    Alibaba (Qwen)

    Qwen3.5 Plus

    Released Feb 16, 2026

    66/100
    • ECI146.8
    • Price$0.40 / $2.40
    • Context1M
  3. Mistral AI

    Mistral Medium 3

    Released May 7, 2025

    53/100
    • ECI134.1
    • Price$0.40 / $2.00
    • Context131K
01 — Verdict

Qwen3.5 Plus is our pick

Qwen3.5 Plus is the better all-round choice, scoring 66/100 against GPT-4.1 mini (60) and Mistral Medium 3 (53). It leads on capability. GPT-4.1 mini wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.5 PlusCapabilities Index (ECI): Qwen3.5 Plus 146.8 · 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 · Qwen3.5 Plus $0.90 per 1M tokens (3:1 blend)
  • Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Qwen3.5 Plus 1,000,000 · Mistral Medium 3 131,072 tokens
  • Widest inputsGPT-4.1 mini and Qwen3.5 PlusGPT-4.1 mini: Text, Images, PDFs · Qwen3.5 Plus: Text, Images, Video · Mistral Medium 3: Text, Images
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-4.1 miniQwen3.5 PlusMistral Medium 3
CapabilityCapabilities Index (ECI)50%597458
Price25%575254
Inputs & features15%707050
Context window10%616024
Overall100%60/10066/10053/100
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 Qwen3.5 Plus vs Mistral Medium 3 specifications side by side
SpecificationGPT-4.1 miniOpenAIQwen3.5 PlusAlibaba (Qwen)Mistral Medium 3Mistral AI
Capability
Capabilities Index (ECI)135.0146.8 (best)134.1
ECI rank#115 of 148#65 of 148 (best)#117 of 148
GPQA DiamondGraduate-level science questions65.9%84.9% (best)59.5%
FrontierMath Tiers 1–3Research-level mathematics6.7%——
OTIS Mock AIME 2024–2025Competition mathematics44.7%86.7% (best)32.2%
SimpleQA VerifiedShort factual questions12.7%25.4% (best)—
Price per million tokens
Input$0.40$0.40$0.40
Output$1.60 (best)$2.40$2.00
Cached input$0.10——
Blended (3:1)$0.70 (best)$0.90$0.80
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Alibaba APIOfficial Mistral API
Limits
Context window1,047,576 tokens (best)1,000,000 tokens131,072 tokens
Max output32,768 tokens65,536 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoNo
AudioNoNoNo
VideoNoYesNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-4.1-miniqwen3.5-plusmistral-medium-2505
API providers24 (best)105
ReleasedApr 14, 2025Feb 16, 2026May 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
  • Qwen3.5 Plus$8.80
  • Mistral Medium 3$8.00
04 — Questions

Which should you choose?

Which is better: GPT-4.1 mini, Qwen3.5 Plus or Mistral Medium 3?

Qwen3.5 Plus is the better all-round choice, scoring 66/100 against GPT-4.1 mini (60) and Mistral Medium 3 (53). It leads on capability. GPT-4.1 mini wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4.1 mini, Qwen3.5 Plus 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); Qwen3.5 Plus costs $0.40 input / $2.40 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 Qwen3.5 Plus (1.3× as much).

Which scores higher on benchmarks?

Qwen3.5 Plus scores higher on the Capabilities Index (ECI): Qwen3.5 Plus 146.8 (#65 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 (144.6–148.1 vs 131.2–136.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3.5 Plus 84.9%, GPT-4.1 mini 65.9%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Qwen3.5 Plus 86.7%, 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, Qwen3.5 Plus and Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, Qwen3.5 Plus 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 1,000,000 for Qwen3.5 Plus and 131,072 for Mistral Medium 3. Maximum output per response: GPT-4.1 mini up to 32,768, Qwen3.5 Plus up to 65,536, 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; Qwen3.5 Plus accepts text, images and video; Mistral Medium 3 accepts text and images. GPT-4.1 mini handles the widest range of inputs.

Are any of these open source?

No. GPT-4.1 mini, Qwen3.5 Plus and Mistral Medium 3 are proprietary and only available through APIs and apps.

Which is newer?

Qwen3.5 Plus is the newest, released Feb 16, 2026. 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, Qwen3.5 Plus 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.