Kimi K3 vs Claude Haiku 5.5 vs GPT-5.6 Terra
Claude Haiku 5.5 comes out ahead, 83 to 67 and 65 on our weighted score, and it is the cheaper option too.
Moonshot AIKimi K3
65/100- ECI158.3
- Price$3.00 / $15.00
- Context1.05M
- Our pick
AnthropicClaude Haiku 5.5
83/100- ECI160.4
- Price$0.10 / $0.50
- Context1M
OpenAIGPT-5.6 Terra
67/100- ECI160.1
- Price$2.00 / $12.00
- Context1.05M
Claude Haiku 5.5 is our pick
Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against GPT-5.6 Terra (67) and Kimi K3 (65). It leads on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 5.5Capabilities Index (ECI): Claude Haiku 5.5 160.4 · GPT-5.6 Terra 160.1 · Kimi K3 158.3
- Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · GPT-5.6 Terra $4.50 · Kimi K3 $6.00 per 1M tokens (3:1 blend)
- Longest contextGPT-5.6 Terra and Kimi K3GPT-5.6 Terra 1,050,000 · Kimi K3 1,048,576 · Claude Haiku 5.5 1,000,000 tokens
- Widest inputsSame inputsKimi K3: Text, Images, Video · Claude Haiku 5.5: Text, Images, PDFs · GPT-5.6 Terra: Text, Images, PDFs
- Self-hostingKimi K3Publishes downloadable weights
| Measure | Weight | Kimi K3 | Claude Haiku 5.5 | GPT-5.6 Terra |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 87 | 89 | 89 |
| Price | 25% | 12 | 80 | 18 |
| Inputs & features | 15% | 80 | 80 | 80 |
| Context window | 10% | 61 | 60 | 61 |
| Overall | 100% | 65/100 | 83/100 | 67/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Kimi K3Moonshot AI | Claude Haiku 5.5Anthropic | GPT-5.6 TerraOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 158.3 | 160.4 (best) | 160.1 |
| ECI rank | #20 of 165 | #14 of 165 (best) | #15 of 165 |
| GPQA DiamondGraduate-level science questions | 93.1% | 89.7% | 93.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 72.2% | 75.1% | 86.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 97.2% | 98.9% | 99.7% (best) |
| SimpleQA VerifiedShort factual questions | 50.6% (best) | 23.8% | 43.2% |
| Price per million tokens | |||
| Input | $3.00 | $0.10 (best) | $2.00 |
| Output | $15.00 | $0.50 (best) | $12.00 |
| Cached input | $0.30 | $0.01 (best) | $0.20 |
| Blended (3:1) | $6.00 | $0.20 (best) | $4.50 |
| Long-context rate | Same rate | Over 100K: $0.50 / $2.50 | Over 272K: $4.00 / $18.00 |
| Price source | Official Moonshot AI API | Official Anthropic API | Official OpenAI API |
| Limits | |||
| Context window | 1,048,576 tokens | 1,000,000 tokens | 1,050,000 tokens (best) |
| Max output | 131,072 tokens (best) | 128,000 tokens | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | kimi-k3 | claude-haiku-5-5 | gpt-5.6-terra |
| API providers | 76 (best) | 33 | 45 |
| Released | Jul 16, 2026 | Oct 7, 2026 | Jul 9, 2026 |
| Knowledge cutoff | — | Jun 2026 | Feb 16, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Kimi K3$60.00
- Claude Haiku 5.5$2.00
- GPT-5.6 Terra$44.00
Which should you choose?
Which is better: Kimi K3, Claude Haiku 5.5 or GPT-5.6 Terra?
Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against GPT-5.6 Terra (67) and Kimi K3 (65). It leads on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Kimi K3, Claude Haiku 5.5 or GPT-5.6 Terra?
Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). GPT-5.6 Terra costs $2.00 input / $12.00 output per million tokens (official OpenAI API price); Kimi K3 costs $3.00 input / $15.00 output per million tokens (official Moonshot AI API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Claude Haiku 5.5 versus $4.50 for GPT-5.6 Terra (23× as much) and $6.00 for Kimi K3 (30× as much).
Which scores higher on benchmarks?
Claude Haiku 5.5 scores higher on the Capabilities Index (ECI): Claude Haiku 5.5 160.4 (#14 of 165), GPT-5.6 Terra 160.1 (#15 of 165) and Kimi K3 158.3 (#20 of 165). The confidence ranges of the top two overlap (157.3–163.8 vs 157.8–163.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.6 Terra 93.3%, Kimi K3 93.1%, Claude Haiku 5.5 89.7%; FrontierMath Tiers 1–3 — GPT-5.6 Terra 86.0%, Claude Haiku 5.5 75.1%, Kimi K3 72.2%; OTIS Mock AIME 2024–2025 — GPT-5.6 Terra 99.7%, Claude Haiku 5.5 98.9%, Kimi K3 97.2%; SimpleQA Verified — Kimi K3 50.6%, GPT-5.6 Terra 43.2%, Claude Haiku 5.5 23.8%.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K3, Claude Haiku 5.5 and GPT-5.6 Terra yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 5.5 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?
GPT-5.6 Terra and Kimi K3 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Haiku 5.5. Maximum output per response: Kimi K3 up to 131,072, Claude Haiku 5.5 up to 128,000, GPT-5.6 Terra up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Kimi K3 accepts text, images and video; Claude Haiku 5.5 accepts text, images and PDFs; GPT-5.6 Terra accepts text, images and PDFs. They handle the same number of input types.
Are any of these open source?
Kimi K3 publishes its weights and can be self-hosted; Claude Haiku 5.5 and GPT-5.6 Terra is proprietary.
Which is newer?
Claude Haiku 5.5 is the newest, released Oct 7, 2026. Kimi K3 came out Jul 16, 2026; GPT-5.6 Terra came out Jul 9, 2026. Knowledge cutoff: Claude Haiku 5.5 Jun 2026, GPT-5.6 Terra Feb 16, 2026.
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 Nov 2, 2026.
