ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.5 Instant vs Qwen3 Max vs Mistral Medium 3.5

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. OpenAI

    GPT-5.5 Instant

    Released May 5, 2026

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

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
  3. Our pick

    Mistral AI

    Mistral Medium 3.5

    Released Apr 29, 2026

    55/100
    • ECI141.4
    • Price$1.50 / $7.50
    • 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 · Qwen3 Max 262,144 · Mistral Medium 3.5 262,144 tokens
  • Widest inputsGPT-5.5 InstantGPT-5.5 Instant: Text, Images, PDFs · Qwen3 Max: Text · Mistral Medium 3.5: Text, Images
  • Self-hostingMistral Medium 3.5Publishes downloadable weights
How the score is built
MeasureWeightGPT-5.5 InstantQwen3 MaxMistral Medium 3.5
CapabilityCapabilities Index (ECI)50%696867
Price25%03227
Inputs & features15%802570
Context window10%443737
Overall100%51/10050/10055/100
02 — Side by side

Every spec in one table

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

GPT-5.5 Instant vs Qwen3 Max vs Mistral Medium 3.5 specifications side by side
SpecificationGPT-5.5 InstantOpenAIQwen3 MaxAlibaba (Qwen)Mistral Medium 3.5Mistral AI
Capability
Capabilities Index (ECI)142.5 (best)142.4141.4
ECI rank#89 of 148 (best)#91 of 148#95 of 148
GPQA DiamondGraduate-level science questions82.5% (best)72.6%—
FrontierMath Tiers 1–3Research-level mathematics26.3% (best)19.0%—
OTIS Mock AIME 2024–2025Competition mathematics68.1%73.3% (best)—
SimpleQA VerifiedShort factual questions—48.8%—
Price per million tokens
Input$5.00$1.20 (best)$1.50
Output$30.00$6.00 (best)$7.50
Cached input——$0.15
Blended (3:1)$11.25$2.40 (best)$3.00
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 3 providersOfficial Alibaba APIOfficial Mistral API
Limits
Context window400,000 tokens (best)262,144 tokens262,144 tokens
Max output128,000 tokens65,536 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoYeshigh
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryProprietaryOpen
API model ID—qwen3-maxmistral-medium-2604
API providers316 (best)12
ReleasedMay 5, 2026Sep 23, 2025Apr 29, 2026
Knowledge cutoffDec 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.

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

Which should you choose?

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

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

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 GPT-5.5 Instant, Qwen3 Max and Mistral Medium 3.5 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 Qwen3 Max and 262,144 for Mistral Medium 3.5. Maximum output per response: GPT-5.5 Instant up to 128,000, Qwen3 Max up to 65,536, Mistral Medium 3.5 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

GPT-5.5 Instant accepts text, images and PDFs; Qwen3 Max accepts text; Mistral Medium 3.5 accepts text and images. 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.