Qwen3 Max vs Qwen3 32B vs Claude Haiku 4.5
Claude Haiku 4.5 comes out ahead, 58 to 51 and 50 on our weighted score, though Qwen3 32B is 39% cheaper per token.
Alibaba (Qwen)Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
- Alibaba (Qwen)
Qwen3 32B
51/100- ECI138.5
- Price$0.70 / $2.80
- Context131K
- 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 Qwen3 32B (51) and Qwen3 Max (50). It leads on inputs & features. Qwen3 Max wins on context window. Qwen3 32B wins on price. 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 · Qwen3 32B 138.5
- Lowest priceQwen3 32BQwen3 32B $1.23 · 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 · Qwen3 32B 131,072 tokens
- Widest inputsClaude Haiku 4.5Qwen3 Max: Text · Qwen3 32B: Text · Claude Haiku 4.5: Text, Images, PDFs
- Self-hostingQwen3 32BPublishes downloadable weights
| Measure | Weight | Qwen3 Max | Qwen3 32B | Claude Haiku 4.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 68 | 64 | 69 |
| Price | 25% | 32 | 46 | 36 |
| Inputs & features | 15% | 25 | 35 | 80 |
| Context window | 10% | 37 | 24 | 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) | Qwen3 32BAlibaba (Qwen) | Claude Haiku 4.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.4 | 138.5 | 142.4 (best) |
| ECI rank | #91 of 148 | #106 of 148 | #90 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 72.6% (best) | 65.7% | 71.2% |
| FrontierMath Tiers 1–3Research-level mathematics | 19.0% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 73.3% (best) | 66.9% | 66.7% |
| SimpleQA VerifiedShort factual questions | 48.8% (best) | — | 13.2% |
| Price per million tokens | |||
| Input | $1.20 | $0.70 (best) | $1.00 |
| Output | $6.00 | $2.80 (best) | $5.00 |
| Cached input | — | — | $0.10 |
| Blended (3:1) | $2.40 | $1.23 (best) | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Alibaba API | Official Anthropic API |
| Limits | |||
| Context window | 262,144 tokens (best) | 131,072 tokens | 200,000 tokens |
| Max output | 65,536 tokens (best) | 16,384 tokens | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | qwen3-max | qwen3-32b | claude-haiku-4-5 |
| API providers | 16 | 14 | 34 (best) |
| Released | Sep 23, 2025 | Apr 29, 2025 | Oct 15, 2025 |
| Knowledge cutoff | Apr 2025 | Apr 2025 | 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
- Qwen3 32B$12.60
- Claude Haiku 4.5$20.00
Which should you choose?
Which is better: Qwen3 Max, Qwen3 32B or Claude Haiku 4.5?
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Qwen3 32B (51) and Qwen3 Max (50). It leads on inputs & features. Qwen3 Max wins on context window. Qwen3 32B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3 Max, Qwen3 32B or Claude Haiku 4.5?
Qwen3 32B is cheaper at $0.70 input / $2.80 output per million tokens (official Alibaba 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 $1.23 per million tokens for Qwen3 32B versus $2.00 for Claude Haiku 4.5 (1.6× as much) and $2.40 for Qwen3 Max (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 Qwen3 32B 138.5 (#106 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 — Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%, Qwen3 32B 65.7%; OTIS Mock AIME 2024–2025 — Qwen3 Max 73.3%, Qwen3 32B 66.9%, Claude Haiku 4.5 66.7%.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 Max, Qwen3 32B and Claude Haiku 4.5 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 131,072 for Qwen3 32B. Maximum output per response: Qwen3 Max up to 65,536, Qwen3 32B up to 16,384, Claude Haiku 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3 Max accepts text; Qwen3 32B accepts text; 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?
Qwen3 32B publishes its weights and can be self-hosted; Qwen3 Max and Claude Haiku 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. Qwen3 Max came out Sep 23, 2025; Qwen3 32B came out Apr 29, 2025. Knowledge cutoff: Qwen3 Max Apr 2025, Qwen3 32B Apr 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.
