ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 4.5 vs Mistral Medium 3.5 vs Qwen3 Max

Claude Haiku 4.5 comes out ahead, 58 to 55 and 50 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
  2. Mistral AI

    Mistral Medium 3.5

    Released Apr 29, 2026

    55/100
    • ECI141.4
    • Price$1.50 / $7.50
    • Context262K
  3. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

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

Claude Haiku 4.5 is our pick

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Mistral Medium 3.5 (55) and Qwen3 Max (50). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Qwen3 Max 142.4 · Mistral Medium 3.5 141.4
  • Lowest priceClaude Haiku 4.5Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 · Mistral Medium 3.5 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMistral Medium 3.5 and Qwen3 MaxMistral Medium 3.5 262,144 · Qwen3 Max 262,144 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsClaude Haiku 4.5Claude Haiku 4.5: Text, Images, PDFs · Mistral Medium 3.5: Text, Images · Qwen3 Max: Text
  • Self-hostingMistral Medium 3.5Publishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 4.5Mistral Medium 3.5Qwen3 Max
CapabilityCapabilities Index (ECI)50%696768
Price25%362732
Inputs & features15%807025
Context window10%323737
Overall100%58/10055/10050/100
02 — Side by side

Every spec in one table

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

Claude Haiku 4.5 vs Mistral Medium 3.5 vs Qwen3 Max specifications side by side
SpecificationClaude Haiku 4.5AnthropicMistral Medium 3.5Mistral AIQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)142.4 (best)141.4142.4
ECI rank#90 of 148 (best)#95 of 148#91 of 148
GPQA DiamondGraduate-level science questions71.2%—72.6% (best)
FrontierMath Tiers 1–3Research-level mathematics——19.0%
OTIS Mock AIME 2024–2025Competition mathematics66.7%—73.3% (best)
SimpleQA VerifiedShort factual questions13.2%—48.8% (best)
Price per million tokens
Input$1.00 (best)$1.50$1.20
Output$5.00 (best)$7.50$6.00
Cached input$0.10 (best)$0.15—
Blended (3:1)$2.00 (best)$3.00$2.40
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Anthropic APIOfficial Mistral APIOfficial Alibaba API
Limits
Context window200,000 tokens262,144 tokens (best)262,144 tokens (best)
Max output64,000 tokens262,144 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYeshighNo
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryOpenProprietary
API model IDclaude-haiku-4-5mistral-medium-2604qwen3-max
API providers34 (best)1216
ReleasedOct 15, 2025Apr 29, 2026Sep 23, 2025
Knowledge cutoffFeb 28, 2025—Apr 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.

  • Claude Haiku 4.5$20.00
  • Mistral Medium 3.5$30.00
  • Qwen3 Max$24.00
04 — Questions

Which should you choose?

Which is better: Claude Haiku 4.5, Mistral Medium 3.5 or Qwen3 Max?

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Mistral Medium 3.5 (55) and Qwen3 Max (50). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Haiku 4.5, Mistral Medium 3.5 or Qwen3 Max?

Claude Haiku 4.5 is cheaper at $1.00 input / $5.00 output per million tokens (official Anthropic API price). Qwen3 Max costs $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). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Claude Haiku 4.5 versus $2.40 for Qwen3 Max (1.2× as much) and $3.00 for Mistral Medium 3.5 (1.5× as much).

Which scores higher on benchmarks?

Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 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 (139.5–144.3 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 Claude Haiku 4.5, Mistral Medium 3.5 and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 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?

Mistral Medium 3.5 and Qwen3 Max have the largest context windows (262,144 and 262,144 tokens), against 200,000 for Claude Haiku 4.5. Maximum output per response: Claude Haiku 4.5 up to 64,000, Mistral Medium 3.5 up to 262,144, Qwen3 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 4.5 accepts text, images and PDFs; Mistral Medium 3.5 accepts text and images; Qwen3 Max accepts text. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

Mistral Medium 3.5 publishes its weights and can be self-hosted; Claude Haiku 4.5 and Qwen3 Max is proprietary.

Which is newer?

Mistral Medium 3.5 is the newest, released Apr 29, 2026. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 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.