Claude Haiku 4.5 vs Kimi K2 Thinking vs Qwen3 Max
Too close to call on our weighted score (Claude Haiku 4.5 58, Kimi K2 Thinking 58, Qwen3 Max 50). The right pick depends on what you value most.
AnthropicClaude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Moonshot AIKimi K2 Thinking
58/100- ECI146.0
- Price$0.60 / $2.50
- Context262K
Alibaba (Qwen)Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
Too close to call
It is close. Our weighted score puts them within a point (Claude Haiku 4.5 58/100, Kimi K2 Thinking 58/100, Qwen3 Max 50/100), so choose by what matters most for your work: Kimi K2 Thinking for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityKimi K2 ThinkingCapabilities Index (ECI): Kimi K2 Thinking 146.0 · Claude Haiku 4.5 142.4 · Qwen3 Max 142.4
- Lowest priceKimi K2 ThinkingKimi K2 Thinking $1.07 · Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
- Longest contextKimi K2 Thinking and Qwen3 MaxKimi K2 Thinking 262,144 · Qwen3 Max 262,144 · Claude Haiku 4.5 200,000 tokens
- Widest inputsClaude Haiku 4.5Claude Haiku 4.5: Text, Images, PDFs · Kimi K2 Thinking: Text · Qwen3 Max: Text
- Self-hostingKimi K2 ThinkingPublishes downloadable weights
| Measure | Weight | Claude Haiku 4.5 | Kimi K2 Thinking | Qwen3 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 73 | 68 |
| Price | 25% | 36 | 48 | 32 |
| Inputs & features | 15% | 80 | 35 | 25 |
| Context window | 10% | 32 | 37 | 37 |
| Overall | 100% | 58/100 | 58/100 | 50/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Haiku 4.5Anthropic | Kimi K2 ThinkingMoonshot AI | Qwen3 MaxAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.4 | 146.0 (best) | 142.4 |
| ECI rank | #90 of 148 | #72 of 148 (best) | #91 of 148 |
| GPQA DiamondGraduate-level science questions | 71.2% | 84.2% (best) | 72.6% |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 19.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 66.7% | 83.1% (best) | 73.3% |
| SimpleQA VerifiedShort factual questions | 13.2% | — | 48.8% (best) |
| Price per million tokens | |||
| Input | $1.00 | $0.60 (best) | $1.20 |
| Output | $5.00 | $2.50 (best) | $6.00 |
| Cached input | $0.10 | — | — |
| Blended (3:1) | $2.00 | $1.07 (best) | $2.40 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Anthropic API | Median of 10 providers | Official Alibaba API |
| Limits | |||
| Context window | 200,000 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 64,000 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | claude-haiku-4-5 | — | qwen3-max |
| API providers | 34 (best) | 10 | 16 |
| Released | Oct 15, 2025 | Nov 6, 2025 | Sep 23, 2025 |
| Knowledge cutoff | Feb 28, 2025 | Aug 2024 | 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.
- Claude Haiku 4.5$20.00
- Kimi K2 Thinking$11.00
- Qwen3 Max$24.00
Which should you choose?
Which is better: Claude Haiku 4.5, Kimi K2 Thinking or Qwen3 Max?
It is close. Our weighted score puts them within a point (Claude Haiku 4.5 58/100, Kimi K2 Thinking 58/100, Qwen3 Max 50/100), so choose by what matters most for your work: Kimi K2 Thinking for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 4.5, Kimi K2 Thinking or Qwen3 Max?
Kimi K2 Thinking is cheaper at $0.60 input / $2.50 output per million tokens (median across 10 API providers). 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 $1.07 per million tokens for Kimi K2 Thinking versus $2.00 for Claude Haiku 4.5 (1.9× as much) and $2.40 for Qwen3 Max (2.2× as much).
Which scores higher on benchmarks?
Kimi K2 Thinking scores higher on the Capabilities Index (ECI): Kimi K2 Thinking 146.0 (#72 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 (143.4–147.6 vs 139.5–144.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Kimi K2 Thinking 84.2%, Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — Kimi K2 Thinking 83.1%, Qwen3 Max 73.3%, Claude Haiku 4.5 66.7%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 4.5, Kimi K2 Thinking and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Kimi K2 Thinking 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?
Kimi K2 Thinking and Qwen3 Max have the largest context windows (262,144 and 262,144 tokens), against 200,000 for Claude Haiku 4.5. Maximum output per response: Claude Haiku 4.5 up to 64,000, Kimi K2 Thinking up to 262,144, Qwen3 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 4.5 accepts text, images and PDFs; Kimi K2 Thinking accepts text; Qwen3 Max accepts text. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
Kimi K2 Thinking publishes its weights and can be self-hosted; Claude Haiku 4.5 and Qwen3 Max is proprietary.
Which is newer?
Kimi K2 Thinking is the newest, released Nov 6, 2025. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Kimi K2 Thinking Aug 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.
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