Qwen3 Max vs o3-pro vs Claude Haiku 4.5
Claude Haiku 4.5 comes out ahead, 58 to 51 and 50 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
OpenAIo3-pro
51/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
- Our pick
AnthropicClaude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against o3-pro (51) and Qwen3 Max (50). It leads on price and inputs & features. Qwen3 Max wins on context window. o3-pro wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- Capabilityo3-proCapabilities Index (ECI): o3-pro 147.4 · Claude Haiku 4.5 142.4 · Qwen3 Max 142.4
- Lowest priceClaude Haiku 4.5Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 · o3-pro $35.00 per 1M tokens (3:1 blend)
- Longest contextQwen3 MaxQwen3 Max 262,144 · o3-pro 200,000 · Claude Haiku 4.5 200,000 tokens
- Widest inputsClaude Haiku 4.5Qwen3 Max: Text · o3-pro: Text, Images · Claude Haiku 4.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Qwen3 Max | o3-pro | Claude Haiku 4.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 68 | 75 | 69 |
| Price | 25% | 32 | 0 | 36 |
| Inputs & features | 15% | 25 | 70 | 80 |
| Context window | 10% | 37 | 32 | 32 |
| Overall | 100% | 50/100 | 51/100 | 58/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen3 MaxAlibaba (Qwen) | o3-proOpenAI | Claude Haiku 4.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.4 | 147.4 (best) | 142.4 |
| ECI rank | #91 of 148 | #60 of 148 (best) | #90 of 148 |
| GPQA DiamondGraduate-level science questions | 72.6% (best) | — | 71.2% |
| FrontierMath Tiers 1–3Research-level mathematics | 19.0% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 73.3% (best) | — | 66.7% |
| SimpleQA VerifiedShort factual questions | 48.8% (best) | — | 13.2% |
| Price per million tokens | |||
| Input | $1.20 | $20.00 | $1.00 (best) |
| Output | $6.00 | $80.00 | $5.00 (best) |
| Cached input | — | — | $0.10 |
| Blended (3:1) | $2.40 | $35.00 | $2.00 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official OpenAI API | Official Anthropic API |
| Limits | |||
| Context window | 262,144 tokens (best) | 200,000 tokens | 200,000 tokens |
| Max output | 65,536 tokens | 100,000 tokens (best) | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | qwen3-max | o3-pro | claude-haiku-4-5 |
| API providers | 16 | 6 | 34 (best) |
| Released | Sep 23, 2025 | Jun 10, 2025 | Oct 15, 2025 |
| Knowledge cutoff | Apr 2025 | May 2024 | Feb 28, 2025 |
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
- o3-pro$360.00
- Claude Haiku 4.5$20.00
Which should you choose?
Which is better: Qwen3 Max, o3-pro or Claude Haiku 4.5?
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against o3-pro (51) and Qwen3 Max (50). It leads on price and inputs & features. Qwen3 Max wins on context window. o3-pro wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3 Max, o3-pro or Claude Haiku 4.5?
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); o3-pro costs $20.00 input / $80.00 output per million tokens (official OpenAI 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 $35.00 for o3-pro (18× as much).
Which scores higher on benchmarks?
o3-pro scores higher on the Capabilities Index (ECI): o3-pro 147.4 (#60 of 148), Claude Haiku 4.5 142.4 (#90 of 148) and Qwen3 Max 142.4 (#91 of 148). Their confidence ranges do not overlap (145.8–149.7 vs 139.5–144.3), so the gap is a real one.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 Max, o3-pro and Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, o3-pro 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 o3-pro and 200,000 for Claude Haiku 4.5. Maximum output per response: Qwen3 Max up to 65,536, o3-pro up to 100,000, Claude Haiku 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3 Max accepts text; o3-pro 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, o3-pro and Claude Haiku 4.5 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-pro came out Jun 10, 2025. Knowledge cutoff: Qwen3 Max Apr 2025, o3-pro May 2024, 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.
