GPT-6.1 Terra vs Kimi K3 vs Claude Sonnet 5.5
GPT-6.1 Terra comes out ahead, 76 to 72 and 65 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAI
GPT-6.1 Terra
76/100- ECI168.1
- Price$1.00 / $5.00
- Context1.05M
Moonshot AI
Kimi K3
65/100- ECI158.3
- Price$3.00 / $15.00
- Context1.05M
Anthropic
Claude Sonnet 5.5
72/100- ECI166.7
- Price$2.00 / $10.00
- Context1M
GPT-6.1 Terra is our pick
GPT-6.1 Terra is the better all-round choice, scoring 76/100 against Claude Sonnet 5.5 (72) and Kimi K3 (65). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-6.1 TerraCapabilities Index (ECI): GPT-6.1 Terra 168.1 · Claude Sonnet 5.5 166.7 · Kimi K3 158.3
- Lowest priceGPT-6.1 TerraGPT-6.1 Terra $2.00 · Claude Sonnet 5.5 $4.00 · Kimi K3 $6.00 per 1M tokens (3:1 blend)
- Longest contextGPT-6.1 Terra and Kimi K3GPT-6.1 Terra 1,050,000 · Kimi K3 1,048,576 · Claude Sonnet 5.5 1,000,000 tokens
- Widest inputsSame inputsGPT-6.1 Terra: Text, Images, PDFs · Kimi K3: Text, Images, Video · Claude Sonnet 5.5: Text, Images, PDFs
- Self-hostingKimi K3Publishes downloadable weights
| Measure | Weight | GPT-6.1 Terra | Kimi K3 | Claude Sonnet 5.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 99 | 87 | 97 |
| Price | 25% | 34 | 12 | 20 |
| Inputs & features | 15% | 80 | 80 | 80 |
| Context window | 10% | 61 | 61 | 60 |
| Overall | 100% | 76/100 | 65/100 | 72/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 168.1 (best) | 158.3 | 166.7 |
| ECI rank | #3 of 165 (best) | #20 of 165 | #5 of 165 |
| GPQA DiamondGraduate-level science questions | 94.3% | 93.1% | 95.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 90.9% (best) | 72.2% | 88.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 97.2% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 57.3% (best) | 50.6% | 46.5% |
| Price per million tokens | |||
| Input | $1.00 (best) | $3.00 | $2.00 |
| Output | $5.00 (best) | $15.00 | $10.00 |
| Cached input | $0.05 (best) | $0.30 | $0.10 |
| Blended (3:1) | $2.00 (best) | $6.00 | $4.00 |
| Long-context rate | Over 272K: $2.00 / $7.50 | Same rate | Same rate |
| Price source | Official OpenAI API | Official Moonshot AI API | Official Anthropic API |
| Limits | |||
| Context window | 1,050,000 tokens (best) | 1,048,576 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yeslow · high · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gpt-6.1-terra | kimi-k3 | claude-sonnet-5-5 |
| API providers | 22 | 76 (best) | 34 |
| Released | Oct 26, 2026 | Jul 16, 2026 | Sep 28, 2026 |
| Knowledge cutoff | Jun 1, 2026 | — | Jun 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-6.1 Terra$20.00
Kimi K3$60.00
Claude Sonnet 5.5$40.00
Which should you choose?
Which is better: GPT-6.1 Terra, Kimi K3 or Claude Sonnet 5.5?
GPT-6.1 Terra is the better all-round choice, scoring 76/100 against Claude Sonnet 5.5 (72) and Kimi K3 (65). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-6.1 Terra, Kimi K3 or Claude Sonnet 5.5?
GPT-6.1 Terra is cheaper at $1.00 input / $5.00 output per million tokens (official OpenAI API price). Claude Sonnet 5.5 costs $2.00 input / $10.00 output per million tokens (official Anthropic 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 $2.00 per million tokens for GPT-6.1 Terra versus $4.00 for Claude Sonnet 5.5 (2× as much) and $6.00 for Kimi K3 (3× as much).
Which scores higher on benchmarks?
GPT-6.1 Terra scores higher on the Capabilities Index (ECI): GPT-6.1 Terra 168.1 (#3 of 165), Claude Sonnet 5.5 166.7 (#5 of 165) and Kimi K3 158.3 (#20 of 165). The confidence ranges of the top two overlap (164.9–172.9 vs 163.6–171.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 5.5 95.6%, GPT-6.1 Terra 94.3%, Kimi K3 93.1%; FrontierMath Tiers 1–3 — GPT-6.1 Terra 90.9%, Claude Sonnet 5.5 88.8%, Kimi K3 72.2%; OTIS Mock AIME 2024–2025 — GPT-6.1 Terra 100%, Claude Sonnet 5.5 100%, Kimi K3 97.2%; SimpleQA Verified — GPT-6.1 Terra 57.3%, Kimi K3 50.6%, Claude Sonnet 5.5 46.5%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6.1 Terra, Kimi K3 and Claude Sonnet 5.5 yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Terra 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-6.1 Terra and Kimi K3 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Sonnet 5.5. Maximum output per response: GPT-6.1 Terra up to 128,000, Kimi K3 up to 131,072, Claude Sonnet 5.5 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-6.1 Terra accepts text, images and PDFs; Kimi K3 accepts text, images and video; Claude Sonnet 5.5 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; GPT-6.1 Terra and Claude Sonnet 5.5 is proprietary.
Which is newer?
GPT-6.1 Terra is the newest, released Oct 26, 2026. Claude Sonnet 5.5 came out Sep 28, 2026; Kimi K3 came out Jul 16, 2026. Knowledge cutoff: GPT-6.1 Terra Jun 1, 2026, Claude Sonnet 5.5 Jun 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.