GPT-5.6 Terra vs GPT-6.1 Terra vs Kimi K3
GPT-6.1 Terra comes out ahead, 76 to 67 and 65 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5.6 Terra
67/100- ECI160.1
- Price$2.00 / $12.00
- Context1.05M
- Our pickOpenAI
GPT-6.1 Terra
76/100- ECI168.1
- Price$1.00 / $5.00
- Context1.05M
Moonshot AIKimi K3
65/100- ECI158.3
- Price$3.00 / $15.00
- Context1.05M
GPT-6.1 Terra is our pick
GPT-6.1 Terra is the better all-round choice, scoring 76/100 against GPT-5.6 Terra (67) 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 · GPT-5.6 Terra 160.1 · Kimi K3 158.3
- Lowest priceGPT-6.1 TerraGPT-6.1 Terra $2.00 · GPT-5.6 Terra $4.50 · Kimi K3 $6.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGPT-5.6 Terra 1,050,000 · GPT-6.1 Terra 1,050,000 · Kimi K3 1,048,576 tokens
- Widest inputsSame inputsGPT-5.6 Terra: Text, Images, PDFs · GPT-6.1 Terra: Text, Images, PDFs · Kimi K3: Text, Images, Video
- Self-hostingKimi K3Publishes downloadable weights
| Measure | Weight | GPT-5.6 Terra | GPT-6.1 Terra | Kimi K3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 89 | 99 | 87 |
| Price | 25% | 18 | 34 | 12 |
| Inputs & features | 15% | 80 | 80 | 80 |
| Context window | 10% | 61 | 61 | 61 |
| Overall | 100% | 67/100 | 76/100 | 65/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.6 TerraOpenAI | GPT-6.1 TerraOpenAI | Kimi K3Moonshot AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 160.1 | 168.1 (best) | 158.3 |
| ECI rank | #15 of 165 | #3 of 165 (best) | #20 of 165 |
| GPQA DiamondGraduate-level science questions | 93.3% | 94.3% (best) | 93.1% |
| FrontierMath Tiers 1–3Research-level mathematics | 86.0% | 90.9% (best) | 72.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.7% | 100% (best) | 97.2% |
| SimpleQA VerifiedShort factual questions | 43.2% | 57.3% (best) | 50.6% |
| Price per million tokens | |||
| Input | $2.00 | $1.00 (best) | $3.00 |
| Output | $12.00 | $5.00 (best) | $15.00 |
| Cached input | $0.20 | $0.05 (best) | $0.30 |
| Blended (3:1) | $4.50 | $2.00 (best) | $6.00 |
| Long-context rate | Over 272K: $4.00 / $18.00 | Over 272K: $2.00 / $7.50 | Same rate |
| Price source | Official OpenAI API | Official OpenAI API | Official Moonshot AI API |
| Limits | |||
| Context window | 1,050,000 tokens (best) | 1,050,000 tokens (best) | 1,048,576 tokens |
| Max output | 128,000 tokens | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh · max | Yeslow · medium · high · xhigh · max | Yeslow · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gpt-5.6-terra | gpt-6.1-terra | kimi-k3 |
| API providers | 45 | 22 | 76 (best) |
| Released | Jul 9, 2026 | Oct 26, 2026 | Jul 16, 2026 |
| Knowledge cutoff | Feb 16, 2026 | Jun 1, 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-5.6 Terra$44.00
- GPT-6.1 Terra$20.00
- Kimi K3$60.00
Which should you choose?
Which is better: GPT-5.6 Terra, GPT-6.1 Terra or Kimi K3?
GPT-6.1 Terra is the better all-round choice, scoring 76/100 against GPT-5.6 Terra (67) 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-5.6 Terra, GPT-6.1 Terra or Kimi K3?
GPT-6.1 Terra is cheaper at $1.00 input / $5.00 output per million tokens (official OpenAI 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 $2.00 per million tokens for GPT-6.1 Terra versus $4.50 for GPT-5.6 Terra (2.3× 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), GPT-5.6 Terra 160.1 (#15 of 165) and Kimi K3 158.3 (#20 of 165). Their confidence ranges do not overlap (164.9–172.9 vs 157.8–163.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-6.1 Terra 94.3%, GPT-5.6 Terra 93.3%, Kimi K3 93.1%; FrontierMath Tiers 1–3 — GPT-6.1 Terra 90.9%, GPT-5.6 Terra 86.0%, Kimi K3 72.2%; OTIS Mock AIME 2024–2025 — GPT-6.1 Terra 100%, GPT-5.6 Terra 99.7%, Kimi K3 97.2%; SimpleQA Verified — GPT-6.1 Terra 57.3%, Kimi K3 50.6%, GPT-5.6 Terra 43.2%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.6 Terra, GPT-6.1 Terra and Kimi K3 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?
Their context windows are effectively the same size: GPT-5.6 Terra 1,050,000, GPT-6.1 Terra 1,050,000 and Kimi K3 1,048,576 tokens. Maximum output per response: GPT-5.6 Terra up to 128,000, GPT-6.1 Terra up to 128,000, Kimi K3 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GPT-5.6 Terra accepts text, images and PDFs; GPT-6.1 Terra accepts text, images and PDFs; Kimi K3 accepts text, images and video. 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-5.6 Terra and GPT-6.1 Terra is proprietary.
Which is newer?
GPT-6.1 Terra is the newest, released Oct 26, 2026. Kimi K3 came out Jul 16, 2026; GPT-5.6 Terra came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Terra Feb 16, 2026, GPT-6.1 Terra Jun 1, 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.
