ZMIME
Comparison · 3 models · Updated Oct 4, 2026

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

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. Mistral AI

    Mistral Medium 3

    Released May 7, 2025

    53/100
    • ECI134.1
    • Price$0.40 / $2.00
    • Context131K
  2. Our pick

    Alibaba (Qwen)

    Qwen3.5 Plus

    Released Feb 16, 2026

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

    GPT-4.1 mini

    Released Apr 14, 2025

    60/100
    • ECI135.0
    • Price$0.40 / $1.60
    • Context1.05M
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 inputsQwen3.5 Plus and GPT-4.1 miniMistral Medium 3: Text, Images · Qwen3.5 Plus: Text, Images, Video · GPT-4.1 mini: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightMistral Medium 3Qwen3.5 PlusGPT-4.1 mini
CapabilityCapabilities Index (ECI)50%587459
Price25%545257
Inputs & features15%507070
Context window10%246061
Overall100%53/10066/10060/100
02 — Side by side

Every spec in one table

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

Mistral Medium 3 vs Qwen3.5 Plus vs GPT-4.1 mini specifications side by side
SpecificationMistral Medium 3Mistral AIQwen3.5 PlusAlibaba (Qwen)GPT-4.1 miniOpenAI
Capability
Capabilities Index (ECI)134.1146.8 (best)135.0
ECI rank#117 of 148#65 of 148 (best)#115 of 148
GPQA DiamondGraduate-level science questions59.5%84.9% (best)65.9%
FrontierMath Tiers 1–3Research-level mathematics——6.7%
OTIS Mock AIME 2024–2025Competition mathematics32.2%86.7% (best)44.7%
SimpleQA VerifiedShort factual questions—25.4% (best)12.7%
Price per million tokens
Input$0.40$0.40$0.40
Output$2.00$2.40$1.60 (best)
Cached input——$0.10
Blended (3:1)$0.80$0.90$0.70 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Alibaba APIOfficial OpenAI API
Limits
Context window131,072 tokens1,000,000 tokens1,047,576 tokens (best)
Max output131,072 tokens (best)65,536 tokens32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoYes
AudioNoNoNo
VideoNoYesNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDmistral-medium-2505qwen3.5-plusgpt-4.1-mini
API providers51024 (best)
ReleasedMay 7, 2025Feb 16, 2026Apr 14, 2025
Knowledge cutoffMay 2025Apr 2025Apr 2024
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.

  • Mistral Medium 3$8.00
  • Qwen3.5 Plus$8.80
  • GPT-4.1 mini$7.20
04 — Questions

Which should you choose?

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

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, Mistral Medium 3, Qwen3.5 Plus or GPT-4.1 mini?

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 Mistral Medium 3, Qwen3.5 Plus and GPT-4.1 mini 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: Mistral Medium 3 up to 131,072, Qwen3.5 Plus up to 65,536, GPT-4.1 mini up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Mistral Medium 3 accepts text and images; Qwen3.5 Plus accepts text, images and video; GPT-4.1 mini accepts text, images and PDFs. Qwen3.5 Plus handles the widest range of inputs.

Are any of these open source?

No. Mistral Medium 3, Qwen3.5 Plus and GPT-4.1 mini 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: Mistral Medium 3 May 2025, Qwen3.5 Plus Apr 2025, GPT-4.1 mini Apr 2024.

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.