ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3 Max vs GPT-5.4 nano vs Claude Haiku 4.5

GPT-5.4 nano comes out ahead, 68 to 58 and 50 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

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

    OpenAI

    GPT-5.4 nano

    Released Mar 17, 2026

    68/100
    • ECI145.8
    • Price$0.20 / $1.25
    • Context400K
  3. Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
01 — Verdict

GPT-5.4 nano is our pick

GPT-5.4 nano is the better all-round choice, scoring 68/100 against Claude Haiku 4.5 (58) and Qwen3 Max (50). It leads on capability, price and context window. Claude Haiku 4.5 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.4 nanoCapabilities Index (ECI): GPT-5.4 nano 145.8 · Claude Haiku 4.5 142.4 · Qwen3 Max 142.4
  • Lowest priceGPT-5.4 nanoGPT-5.4 nano $0.463 · Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 nanoGPT-5.4 nano 400,000 · Qwen3 Max 262,144 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsClaude Haiku 4.5Qwen3 Max: Text · GPT-5.4 nano: Text, Images · Claude Haiku 4.5: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightQwen3 MaxGPT-5.4 nanoClaude Haiku 4.5
CapabilityCapabilities Index (ECI)50%687369
Price25%326636
Inputs & features15%257080
Context window10%374432
Overall100%50/10068/10058/100
02 — Side by side

Every spec in one table

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

Qwen3 Max vs GPT-5.4 nano vs Claude Haiku 4.5 specifications side by side
SpecificationQwen3 MaxAlibaba (Qwen)GPT-5.4 nanoOpenAIClaude Haiku 4.5Anthropic
Capability
Capabilities Index (ECI)142.4145.8 (best)142.4
ECI rank#91 of 148#75 of 148 (best)#90 of 148
GPQA DiamondGraduate-level science questions72.6%78.5% (best)71.2%
FrontierMath Tiers 1–3Research-level mathematics19.0%44.9% (best)—
OTIS Mock AIME 2024–2025Competition mathematics73.3%87.8% (best)66.7%
SimpleQA VerifiedShort factual questions48.8% (best)11.7%13.2%
Price per million tokens
Input$1.20$0.20 (best)$1.00
Output$6.00$1.25 (best)$5.00
Cached input—$0.02 (best)$0.10
Blended (3:1)$2.40$0.463 (best)$2.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial OpenAI APIOfficial Anthropic API
Limits
Context window262,144 tokens400,000 tokens (best)200,000 tokens
Max output65,536 tokens128,000 tokens (best)64,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoYeslow · medium · high · xhighYes
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDqwen3-maxgpt-5.4-nanoclaude-haiku-4-5
API providers162634 (best)
ReleasedSep 23, 2025Mar 17, 2026Oct 15, 2025
Knowledge cutoffApr 2025Aug 31, 2025Feb 28, 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.

  • Qwen3 Max$24.00
  • GPT-5.4 nano$4.50
  • Claude Haiku 4.5$20.00
04 — Questions

Which should you choose?

Which is better: Qwen3 Max, GPT-5.4 nano or Claude Haiku 4.5?

GPT-5.4 nano is the better all-round choice, scoring 68/100 against Claude Haiku 4.5 (58) and Qwen3 Max (50). It leads on capability, price and context window. Claude Haiku 4.5 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3 Max, GPT-5.4 nano or Claude Haiku 4.5?

GPT-5.4 nano is cheaper at $0.20 input / $1.25 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 $0.463 per million tokens for GPT-5.4 nano versus $2.00 for Claude Haiku 4.5 (4.3× as much) and $2.40 for Qwen3 Max (5.2× as much).

Which scores higher on benchmarks?

GPT-5.4 nano scores higher on the Capabilities Index (ECI): GPT-5.4 nano 145.8 (#75 of 148), Claude Haiku 4.5 142.4 (#90 of 148) and Qwen3 Max 142.4 (#91 of 148). The confidence ranges of the top two overlap (143.2–147.7 vs 139.5–144.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 nano 78.5%, Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — GPT-5.4 nano 87.8%, Qwen3 Max 73.3%, Claude Haiku 4.5 66.7%; SimpleQA Verified — Qwen3 Max 48.8%, Claude Haiku 4.5 13.2%, GPT-5.4 nano 11.7%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Max, GPT-5.4 nano and Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 nano 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-5.4 nano has the largest context window at 400,000 tokens, against 262,144 for Qwen3 Max and 200,000 for Claude Haiku 4.5. Maximum output per response: Qwen3 Max up to 65,536, GPT-5.4 nano up to 128,000, Claude Haiku 4.5 up to 64,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Max accepts text; GPT-5.4 nano accepts text and images; Claude Haiku 4.5 accepts text, images and PDFs. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

No. Qwen3 Max, GPT-5.4 nano and Claude Haiku 4.5 are proprietary and only available through APIs and apps.

Which is newer?

GPT-5.4 nano is the newest, released Mar 17, 2026. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: Qwen3 Max Apr 2025, GPT-5.4 nano Aug 31, 2025, Claude Haiku 4.5 Feb 28, 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.