GPT-5.4 nano vs Claude Haiku 4.5 vs Qwen3 Max
GPT-5.4 nano comes out ahead, 68 to 58 and 50 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIGPT-5.4 nano
68/100- ECI145.8
- Price$0.20 / $1.25
- Context400K
AnthropicClaude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Alibaba (Qwen)Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
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 4.5GPT-5.4 nano: Text, Images · Claude Haiku 4.5: Text, Images, PDFs · Qwen3 Max: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.4 nano | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 69 | 68 |
| Price | 25% | 66 | 36 | 32 |
| Inputs & features | 15% | 70 | 80 | 25 |
| Context window | 10% | 44 | 32 | 37 |
| Overall | 100% | 68/100 | 58/100 | 50/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.4 nanoOpenAI | Claude Haiku 4.5Anthropic | Qwen3 MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 145.8 (best) | 142.4 | 142.4 |
| ECI rank | #75 of 148 (best) | #90 of 148 | #91 of 148 |
| GPQA DiamondGraduate-level science questions | 78.5% (best) | 71.2% | 72.6% |
| FrontierMath Tiers 1–3Research-level mathematics | 44.9% (best) | — | 19.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 87.8% (best) | 66.7% | 73.3% |
| SimpleQA VerifiedShort factual questions | 11.7% | 13.2% | 48.8% (best) |
| Price per million tokens | |||
| Input | $0.20 (best) | $1.00 | $1.20 |
| Output | $1.25 (best) | $5.00 | $6.00 |
| Cached input | $0.02 (best) | $0.10 | — |
| Blended (3:1) | $0.463 (best) | $2.00 | $2.40 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Anthropic API | Official Alibaba API |
| Limits | |||
| Context window | 400,000 tokens (best) | 200,000 tokens | 262,144 tokens |
| Max output | 128,000 tokens (best) | 64,000 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5.4-nano | claude-haiku-4-5 | qwen3-max |
| API providers | 26 | 34 (best) | 16 |
| Released | Mar 17, 2026 | Oct 15, 2025 | Sep 23, 2025 |
| Knowledge cutoff | Aug 31, 2025 | Feb 28, 2025 | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.4 nano$4.50
- Claude Haiku 4.5$20.00
- Qwen3 Max$24.00
Which should you choose?
Which is better: GPT-5.4 nano, Claude Haiku 4.5 or Qwen3 Max?
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, GPT-5.4 nano, Claude Haiku 4.5 or Qwen3 Max?
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 GPT-5.4 nano, Claude Haiku 4.5 and Qwen3 Max 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: GPT-5.4 nano up to 128,000, Claude Haiku 4.5 up to 64,000, Qwen3 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 nano accepts text and images; Claude Haiku 4.5 accepts text, images and PDFs; Qwen3 Max accepts text. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
No. GPT-5.4 nano, Claude Haiku 4.5 and Qwen3 Max 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: GPT-5.4 nano Aug 31, 2025, 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.
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