ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Mistral Medium 3.5 vs GPT-5.5 Instant vs Qwen3 Max

Mistral Medium 3.5 comes out ahead, 55 to 51 and 50 on our weighted score, though Qwen3 Max is 20% cheaper per token.

  1. Our pick

    Mistral AI

    Mistral Medium 3.5

    Released Apr 29, 2026

    55/100
    • ECI141.4
    • Price$1.50 / $7.50
    • Context262K
  2. OpenAI

    GPT-5.5 Instant

    Released May 5, 2026

    51/100
    • ECI142.5
    • Price$5.00 / $30.00
    • Context400K
  3. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

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

Mistral Medium 3.5 is our pick

Mistral Medium 3.5 is the better all-round choice, scoring 55/100 against GPT-5.5 Instant (51) and Qwen3 Max (50). GPT-5.5 Instant wins on inputs & features and context window. Qwen3 Max wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.5 InstantCapabilities Index (ECI): GPT-5.5 Instant 142.5 · Qwen3 Max 142.4 · Mistral Medium 3.5 141.4
  • Lowest priceQwen3 MaxQwen3 Max $2.40 · Mistral Medium 3.5 $3.00 · GPT-5.5 Instant $11.25 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.5 InstantGPT-5.5 Instant 400,000 · Mistral Medium 3.5 262,144 · Qwen3 Max 262,144 tokens
  • Widest inputsGPT-5.5 InstantMistral Medium 3.5: Text, Images · GPT-5.5 Instant: Text, Images, PDFs · Qwen3 Max: Text
  • Self-hostingMistral Medium 3.5Publishes downloadable weights
How the score is built
MeasureWeightMistral Medium 3.5GPT-5.5 InstantQwen3 Max
CapabilityCapabilities Index (ECI)50%676968
Price25%27032
Inputs & features15%708025
Context window10%374437
Overall100%55/10051/10050/100
02 — Side by side

Every spec in one table

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

Mistral Medium 3.5 vs GPT-5.5 Instant vs Qwen3 Max specifications side by side
SpecificationMistral Medium 3.5Mistral AIGPT-5.5 InstantOpenAIQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)141.4142.5 (best)142.4
ECI rank#95 of 148#89 of 148 (best)#91 of 148
GPQA DiamondGraduate-level science questions—82.5% (best)72.6%
FrontierMath Tiers 1–3Research-level mathematics—26.3% (best)19.0%
OTIS Mock AIME 2024–2025Competition mathematics—68.1%73.3% (best)
SimpleQA VerifiedShort factual questions——48.8%
Price per million tokens
Input$1.50$5.00$1.20 (best)
Output$7.50$30.00$6.00 (best)
Cached input$0.15——
Blended (3:1)$3.00$11.25$2.40 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 3 providersOfficial Alibaba API
Limits
Context window262,144 tokens400,000 tokens (best)262,144 tokens
Max output262,144 tokens (best)128,000 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYeshighYesNo
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsOpenProprietaryProprietary
API model IDmistral-medium-2604—qwen3-max
API providers12316 (best)
ReleasedApr 29, 2026May 5, 2026Sep 23, 2025
Knowledge cutoff—Dec 1, 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.

  • Mistral Medium 3.5$30.00
  • GPT-5.5 Instant$110.00
  • Qwen3 Max$24.00
04 — Questions

Which should you choose?

Which is better: Mistral Medium 3.5, GPT-5.5 Instant or Qwen3 Max?

Mistral Medium 3.5 is the better all-round choice, scoring 55/100 against GPT-5.5 Instant (51) and Qwen3 Max (50). GPT-5.5 Instant wins on inputs & features and context window. Qwen3 Max wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Medium 3.5, GPT-5.5 Instant or Qwen3 Max?

Qwen3 Max is cheaper at $1.20 input / $6.00 output per million tokens (official Alibaba API price). Mistral Medium 3.5 costs $1.50 input / $7.50 output per million tokens (official Mistral API price); GPT-5.5 Instant costs $5.00 input / $30.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $2.40 per million tokens for Qwen3 Max versus $3.00 for Mistral Medium 3.5 (1.3× as much) and $11.25 for GPT-5.5 Instant (4.7× as much).

Which scores higher on benchmarks?

GPT-5.5 Instant scores higher on the Capabilities Index (ECI): GPT-5.5 Instant 142.5 (#89 of 148), Qwen3 Max 142.4 (#91 of 148) and Mistral Medium 3.5 141.4 (#95 of 148). The confidence ranges of the top two overlap (140.0–145.3 vs 140.0–144.6), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Medium 3.5, GPT-5.5 Instant and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, GPT-5.5 Instant 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-5.5 Instant has the largest context window at 400,000 tokens, against 262,144 for Mistral Medium 3.5 and 262,144 for Qwen3 Max. Maximum output per response: Mistral Medium 3.5 up to 262,144, GPT-5.5 Instant up to 128,000, Qwen3 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Mistral Medium 3.5 accepts text and images; GPT-5.5 Instant accepts text, images and PDFs; Qwen3 Max accepts text. GPT-5.5 Instant handles the widest range of inputs.

Are any of these open source?

Mistral Medium 3.5 publishes its weights and can be self-hosted; GPT-5.5 Instant and Qwen3 Max is proprietary.

Which is newer?

GPT-5.5 Instant is the newest, released May 5, 2026. Mistral Medium 3.5 came out Apr 29, 2026; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: GPT-5.5 Instant Dec 1, 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.