GPT-6.1 Terra vs Kimi K2.7 Code
GPT-6.1 Terra leads Kimi K2.7 Code on coding, 77.4 to 53.4 on the Vibe Coding Index, and Kimi K2.7 Code costs 1.3x less per output token ($4.00 vs $5.00 per million). Updated October 29, 2026; 18 benchmarks have a result for both.
GPT-6.1 Terra or Kimi K2.7 Code: which to pick
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code.
Pick Kimi K2.7 Code for output tokens 1.3x cheaper ($4.00 vs $5.00 per million).
- Shared results
- 18
- GPT-6.1 Terra only
- 18
- Kimi K2.7 Code only
- 32
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
GPT-6.1 Terra
GPT-6.1 Terra scores 77.4 against 53.4.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only GPT-6.1 Terra has a AA Intelligence Index result, 51.0.
Directional only
Agentic work
AA Agentic Index
No call
Only Kimi K2.7 Code has a AA Agentic Index result, 21.0.
Directional only
Web design
Design Arena: websites
GPT-6.1 Terra
GPT-6.1 Terra leads, 1283 against 1263.
Same board, both measured
General
Vals Index
No call
Only GPT-6.1 Terra has a Vals Index result, 60.5%.
Directional only
Long documents
Listed context window
GPT-6.1 Terra
GPT-6.1 Terra takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.7 Code
GPT-6.1 Terra $0.0035, Kimi K2.7 Code $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.7 Code has the number, $0.35.
Directional only
At a glance
- Coding index
- GPT-6.1 Terra 77.4 from 4 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
- Widest category
- Math, 40.6 points apart on average over 3 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: GPT-6.1 Terra 92.7% against Kimi K2.7 Code 12.2%, 80.5 points apart on a 0 to 100 scale.
- Output price
- GPT-6.1 Terra $5.00 against Kimi K2.7 Code $4.00 per million output tokens, 1.3x apart.
- Context window
- GPT-6.1 Terra takes 1.05M tokens, Kimi K2.7 Code 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-6.1 Terra | Bars | Kimi K2.7 Code | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 1 | 0 | ||
| Web design | 4 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 18 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | Not measured | Only GPT-6.1 Terra measured |
| LMArena WebDev | 1673 | 1474 | GPT-6.1 Terra |
| AA Coding Index | Not measured | 60.8 | Only Kimi K2.7 Code measured |
| LiveCodeBench (Vals AI) | Not measured | 82.0% | Only Kimi K2.7 Code measured |
| SWE-bench Verified (Vals AI) | Not measured | 78.2% | Only Kimi K2.7 Code measured |
| Terminal-Bench 4 (Vals AI) | 49.5% | Not measured | Only GPT-6.1 Terra measured |
| Vibe Code Bench (Vals AI) | 84.0% | 47.2% | GPT-6.1 Terra |
| Code migration (Vals AI) | Not measured | 25.4% | Only Kimi K2.7 Code measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Kimi K2.7 Code measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.0% | Only Kimi K2.7 Code measured |
| SkillsBench (Vals AI) | Not measured | 50.0% | Only Kimi K2.7 Code measured |
| SciCode | 55.1% | 47.8% | GPT-6.1 Terra |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 44.7% | Only Kimi K2.7 Code measured |
| FrontierCode | Not measured | 30.1% | Only Kimi K2.7 Code measured |
| WeirdML | Not measured | 54.1% | Only Kimi K2.7 Code measured |
| ALE-Bench | 2608.8 | 886.2 | GPT-6.1 Terra |
| LMArena WebDev: React | 1657 | 1475 | GPT-6.1 Terra |
| LMArena WebDev: HTML | 1719 | 1450 | GPT-6.1 Terra |
| LMArena WebDev: from an image | Not measured | 1513 | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Intelligence Index | 51.0 | Not measured | Only GPT-6.1 Terra measured |
| Epoch Capabilities Index | Not measured | 150.1 | Only Kimi K2.7 Code measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 21.0 | Only Kimi K2.7 Code measured |
| Design Arena: agents building web apps | Not measured | 1177 | Only Kimi K2.7 Code measured |
| Design Arena: agents building full-stack apps | Not measured | 1176 | Only Kimi K2.7 Code measured |
| Design Arena: agents building mobile apps | Not measured | 1142 | Only Kimi K2.7 Code measured |
| Design Arena: agents building Android apps | Not measured | 1136 | Only Kimi K2.7 Code measured |
| Design Arena: agents building Godot games | Not measured | 1147 | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | Not measured | 1093 | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | Not measured | 1097 | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | Not measured | 1109 | Only Kimi K2.7 Code measured |
| LiveBench research | 73.9% | Not measured | Only GPT-6.1 Terra measured |
| LiveBench browser | 93.1% | Not measured | Only GPT-6.1 Terra measured |
| LiveBench long agentic | 48.6% | Not measured | Only GPT-6.1 Terra measured |
| Tax Agent Bench (Vals AI) | 15.2% | Not measured | Only GPT-6.1 Terra measured |
| Legal Research Bench (Vals AI) | 26.0% | Not measured | Only GPT-6.1 Terra measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 1.7% | Not measured | Only GPT-6.1 Terra measured |
| τ²-Bench Telecom | Not measured | 90.1% | Only Kimi K2.7 Code measured |
| APEX-Agents | 68.3% | 37.6% | GPT-6.1 Terra |
| Vending-Bench 2 | Not measured | $5,083 | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.7% | Not measured | Only GPT-6.1 Terra measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.6% | Only Kimi K2.7 Code measured |
| Humanity's Last Exam (Artificial Analysis run) | 46.2% | 35.0% | GPT-6.1 Terra |
| GPQA Diamond (Epoch AI run) | 94.3% | 87.9% | GPT-6.1 Terra |
| SimpleBench | Not measured | 57.9% | Only Kimi K2.7 Code measured |
| Chess puzzles | Not measured | 14.0% | Only Kimi K2.7 Code measured |
| Mystery game puzzles | 74.0% | Not measured | Only GPT-6.1 Terra measured |
| EBR-bench | 78.1% | Not measured | Only GPT-6.1 Terra measured |
| Humanity's Last Exam (Scale run) | 35.7% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 95.6% | GPT-6.1 Terra |
| FrontierMath, tiers 1 to 3 | 90.9% | 54.0% | GPT-6.1 Terra |
| FrontierMath, tier 4 | 92.7% | 12.2% | GPT-6.1 Terra |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| SimpleQA Verified | 57.3% | 36.5% | GPT-6.1 Terra |
| Neither model has a result on the other 19 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Design Arena: websites | 1283 | 1263 | GPT-6.1 Terra |
| Design Arena: UI components | 1277 | 1253 | GPT-6.1 Terra |
| Design Arena: game dev | 1348 | 1220 | GPT-6.1 Terra |
| Design Arena: data viz | Not measured | 1225 | Only Kimi K2.7 Code measured |
| Design Arena: 3D | Not measured | 1238 | Only Kimi K2.7 Code measured |
| Design Arena: all code categories | 1295 | 1251 | GPT-6.1 Terra |
| Design Arena: SVG | Not measured | 1173 | Only Kimi K2.7 Code measured |
| Design Arena: ASCII art | Not measured | 1193 | Only Kimi K2.7 Code measured |
| LiveBench design | 82.3% | Not measured | Only GPT-6.1 Terra measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Vals Index | 60.5% | Not measured | Only GPT-6.1 Terra measured |
| LiveBench data analysis | 82.3% | Not measured | Only GPT-6.1 Terra measured |
| IFBench | Not measured | 63.1% | Only Kimi K2.7 Code measured |
| Long context reasoning (AA-LCR) | 82.7% | 79.3% | GPT-6.1 Terra |
| Surface Evolver Bench | Not measured | 48.8% | Only Kimi K2.7 Code measured |
| Furniture assembly | 79.2% | Not measured | Only GPT-6.1 Terra measured |
| MultiChallenge | 74.2% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 41 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Terra | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Kimi K2.7 Code costs less
Repository review
50K input + 3K output tokens
Kimi K2.7 Code costs less
Agent loop
200K input + 10K output tokens
Kimi K2.7 Code costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-6.1 Terra | MoonshotAI Kimi K2.7 Code |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | October 26, 2026 | June 12, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $1.00 | $0.95 |
| Output $/Mtok | $5.00 | $4.00 |
| Coding index | 77.4 | 53.4 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6.1 Terra better than Kimi K2.7 Code for coding?
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code. Pick Kimi K2.7 Code for output tokens 1.3x cheaper ($4.00 vs $5.00 per million).
Which is cheaper, GPT-6.1 Terra or Kimi K2.7 Code?
GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Cost per solved task is known for Kimi K2.7 Code only.
Which has the bigger context window, GPT-6.1 Terra or Kimi K2.7 Code?
GPT-6.1 Terra, with 1.05M tokens against 262K.
How many benchmarks is the GPT-6.1 Terra vs Kimi K2.7 Code comparison based on?
18 benchmarks have a result for both models as of October 29, 2026. GPT-6.1 Terra's coding index rests on 4 independent benchmarks and Kimi K2.7 Code's on 4. Where only one model has a result, the page says so instead of naming a winner.