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Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 4.5 vs o3-mini vs Qwen3 Max

Claude Haiku 4.5 comes out ahead, 58 to 52 and 50 on our weighted score.

  1. Our pick

    Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

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

    o3-mini

    Released Jan 31, 2025Deprecated

    52/100
    • ECI140.3
    • Price$1.10 / $4.40
    • Context200K
  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 o3-mini (52) and Qwen3 Max (50). It leads on inputs & features. Qwen3 Max wins on context window. 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 · o3-mini 140.3
  • Lowest priceo3-minio3-mini $1.93 · Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextQwen3 MaxQwen3 Max 262,144 · Claude Haiku 4.5 200,000 · o3-mini 200,000 tokens
  • Widest inputsClaude Haiku 4.5Claude Haiku 4.5: Text, Images, PDFs · o3-mini: Text · Qwen3 Max: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Haiku 4.5o3-miniQwen3 Max
CapabilityCapabilities Index (ECI)50%696668
Price25%363632
Inputs & features15%804525
Context window10%323237
Overall100%58/10052/10050/100
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 o3-mini vs Qwen3 Max specifications side by side
SpecificationClaude Haiku 4.5Anthropico3-miniOpenAIQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)142.4 (best)140.3142.4
ECI rank#90 of 148 (best)#98 of 148#91 of 148
GPQA DiamondGraduate-level science questions71.2%77.0% (best)72.6%
FrontierMath Tiers 1–3Research-level mathematics—18.6%19.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics66.7%76.9% (best)73.3%
SimpleQA VerifiedShort factual questions13.2%15.3%48.8% (best)
Price per million tokens
Input$1.00 (best)$1.10$1.20
Output$5.00$4.40 (best)$6.00
Cached input$0.10 (best)$0.55—
Blended (3:1)$2.00$1.93 (best)$2.40
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Anthropic APIOfficial OpenAI APIOfficial Alibaba API
Limits
Context window200,000 tokens200,000 tokens262,144 tokens (best)
Max output64,000 tokens100,000 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYeslow · medium · highNo
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-haiku-4-5o3-miniqwen3-max
API providers34 (best)1516
ReleasedOct 15, 2025Jan 31, 2025Sep 23, 2025
Knowledge cutoffFeb 28, 2025May 2024Apr 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
  • o3-mini$19.80
  • Qwen3 Max$24.00
04 — Questions

Which should you choose?

Which is better: Claude Haiku 4.5, o3-mini or Qwen3 Max?

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against o3-mini (52) and Qwen3 Max (50). It leads on inputs & features. Qwen3 Max wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Haiku 4.5, o3-mini or Qwen3 Max?

o3-mini is cheaper at $1.10 input / $4.40 output per million tokens (official OpenAI API price). Claude Haiku 4.5 costs $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). At a typical mix of three input tokens to one output token, that is $1.93 per million tokens for o3-mini versus $2.00 for Claude Haiku 4.5 (1× as much) and $2.40 for Qwen3 Max (1.2× 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 o3-mini 140.3 (#98 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. On individual benchmarks: GPQA Diamond — o3-mini 77.0%, Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — o3-mini 76.9%, Qwen3 Max 73.3%, Claude Haiku 4.5 66.7%; SimpleQA Verified — Qwen3 Max 48.8%, o3-mini 15.3%, Claude Haiku 4.5 13.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 4.5, o3-mini 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?

Qwen3 Max has the largest context window at 262,144 tokens, against 200,000 for Claude Haiku 4.5 and 200,000 for o3-mini. Maximum output per response: Claude Haiku 4.5 up to 64,000, o3-mini up to 100,000, Qwen3 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 4.5 accepts text, images and PDFs; o3-mini accepts text; Qwen3 Max accepts text. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

No. Claude Haiku 4.5, o3-mini and Qwen3 Max are proprietary and only available through APIs and apps.

Which is newer?

Claude Haiku 4.5 is the newest, released Oct 15, 2025. Qwen3 Max came out Sep 23, 2025; o3-mini came out Jan 31, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, o3-mini May 2024, 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.