ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Mistral Medium 3 vs Mistral Medium 3.5 vs GPT-4.1 mini

GPT-4.1 mini comes out ahead, 60 to 55 and 53 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mistral Medium 3

    Released May 7, 2025

    53/100
    • ECI134.1
    • Price$0.40 / $2.00
    • Context131K
  2. Mistral AI

    Mistral Medium 3.5

    Released Apr 29, 2026

    55/100
    • ECI141.4
    • Price$1.50 / $7.50
    • Context262K
  3. Our pick

    OpenAI

    GPT-4.1 mini

    Released Apr 14, 2025

    60/100
    • ECI135.0
    • Price$0.40 / $1.60
    • Context1.05M
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 3.5 (55) and Mistral Medium 3 (53). It leads on price and context window. Mistral Medium 3.5 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Medium 3.5Capabilities Index (ECI): Mistral Medium 3.5 141.4 · 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 · Mistral Medium 3.5 $3.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Mistral Medium 3.5 262,144 · Mistral Medium 3 131,072 tokens
  • Widest inputsGPT-4.1 miniMistral Medium 3: Text, Images · Mistral Medium 3.5: Text, Images · GPT-4.1 mini: Text, Images, PDFs
  • Self-hostingMistral Medium 3.5Publishes downloadable weights
How the score is built
MeasureWeightMistral Medium 3Mistral Medium 3.5GPT-4.1 mini
CapabilityCapabilities Index (ECI)50%586759
Price25%542757
Inputs & features15%507070
Context window10%243761
Overall100%53/10055/10060/100
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 Mistral Medium 3.5 vs GPT-4.1 mini specifications side by side
SpecificationMistral Medium 3Mistral AIMistral Medium 3.5Mistral AIGPT-4.1 miniOpenAI
Capability
Capabilities Index (ECI)134.1141.4 (best)135.0
ECI rank#117 of 148#95 of 148 (best)#115 of 148
GPQA DiamondGraduate-level science questions59.5%—65.9% (best)
FrontierMath Tiers 1–3Research-level mathematics——6.7%
OTIS Mock AIME 2024–2025Competition mathematics32.2%—44.7% (best)
SimpleQA VerifiedShort factual questions——12.7%
Price per million tokens
Input$0.40 (best)$1.50$0.40 (best)
Output$2.00$7.50$1.60 (best)
Cached input—$0.15$0.10 (best)
Blended (3:1)$0.80$3.00$0.70 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Mistral APIOfficial OpenAI API
Limits
Context window131,072 tokens262,144 tokens1,047,576 tokens (best)
Max output131,072 tokens262,144 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoYeshighNo
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryOpenProprietary
API model IDmistral-medium-2505mistral-medium-2604gpt-4.1-mini
API providers51224 (best)
ReleasedMay 7, 2025Apr 29, 2026Apr 14, 2025
Knowledge cutoffMay 2025—Apr 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
  • Mistral Medium 3.5$30.00
  • GPT-4.1 mini$7.20
04 — Questions

Which should you choose?

Which is better: Mistral Medium 3, Mistral Medium 3.5 or GPT-4.1 mini?

GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3.5 (55) and Mistral Medium 3 (53). It leads on price and context window. Mistral Medium 3.5 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Medium 3, Mistral Medium 3.5 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); Mistral Medium 3.5 costs $1.50 input / $7.50 output per million tokens (official Mistral 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 $3.00 for Mistral Medium 3.5 (4.3× as much).

Which scores higher on benchmarks?

Mistral Medium 3.5 scores higher on the Capabilities Index (ECI): Mistral Medium 3.5 141.4 (#95 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 (138.4–143.7 vs 131.2–136.6), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Medium 3, Mistral Medium 3.5 and GPT-4.1 mini yet, so there is no like-for-like coding score. On overall capability, Mistral Medium 3.5 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 Mistral Medium 3.5 and 131,072 for Mistral Medium 3. Maximum output per response: Mistral Medium 3 up to 131,072, Mistral Medium 3.5 up to 262,144, GPT-4.1 mini up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Mistral Medium 3 accepts text and images; Mistral Medium 3.5 accepts text and images; GPT-4.1 mini accepts text, images and PDFs. GPT-4.1 mini handles the widest range of inputs.

Are any of these open source?

Mistral Medium 3.5 publishes its weights and can be self-hosted; Mistral Medium 3 and GPT-4.1 mini is proprietary.

Which is newer?

Mistral Medium 3.5 is the newest, released Apr 29, 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, 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.