GPT-5.6 Terra vs Kimi K2.7 Code

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.6 Terra Replace Kimi K2.7 Code

GPT-5.6 TerraOpenAI

Coding: 69.0
Overall: 42.1
Output $/M: $12.00

Kimi K2.7 CodeMoonshot AI

Coding: 39.1
Overall: 25.8
Output $/M: $3.35

vs boards won of 50 shared, 1 tied

Decision reading

Pick GPT-5.6 Terra for coding: it scores 69.0 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code.

Pick Kimi K2.7 Code when output tokens cost 3.6x less, or when a solved task costs $0.35 against $0.42.

Model AGPT-5.6 TerraOpenAI69.0/1002 independent benchmarks$0.42 per solved task Model BKimi K2.7 CodeMoonshot AI39.1/1001 independent benchmark$0.35 per solved task

50741

Shared results: 50
GPT-5.6 Terra only: 74
Kimi K2.7 Code only: 1
Like-for-like categories: 8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, four public coding benchmarks
GPT-5.6 Terra
GPT-5.6 Terra scores 69.0 against 39.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Terra
GPT-5.6 Terra leads, 42.1 against 25.8.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Terra
GPT-5.6 Terra leads, 43.2 against 21.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5.6 Terra has a GPQA Diamond result, 90.9%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.6 Terra has a MMLU Pro result, 86.7%.
Directional only
Web design
Design Arena: websites
GPT-5.6 Terra
GPT-5.6 Terra leads, 1269 against 1264.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Terra
GPT-5.6 Terra takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.7 Code
GPT-5.6 Terra $0.0080, Kimi K2.7 Code $0.0023 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
GPT-5.6 Terra $0.42, Kimi K2.7 Code $0.35.
Published attempt cost and pass rate

At a glance

Coding index: GPT-5.6 Terra 69.0 from 2 benchmarks, Kimi K2.7 Code 39.1 from 1 benchmark.
Widest category: Math, 31.5 points apart on average over 3 shared benchmarks.
Widest single gap: FrontierMath, tier 4: GPT-5.6 Terra 70.7% against Kimi K2.7 Code 12.2%, 58.5 points apart on a 0 to 100 scale.
Output price: GPT-5.6 Terra $12.00 against Kimi K2.7 Code $3.35 per million output tokens, 3.6x apart.
Context window: GPT-5.6 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.

Boards won, where both have a result
Category	GPT-5.6 Terra	Kimi K2.7 Code	Ties
Coding	17	0
Intelligence	2	0
Agentic work	3	8
Reasoning	4	1
Math	3	0
Knowledge	1	0
Web design	4	3	1 tie
General	3	0
All shared boards	37	12	1 tie

CodingLike-for-likeFour of these boards feed the Vibe Coding Index170

Coding benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 Terra	Kimi K2.7 Code	Leader
LiveBench coding	86.2%	Not measured	Only GPT-5.6 Terra measured
LMArena WebDev	1522	1474	GPT-5.6 Terra
AA Coding Index	76.7	60.8	GPT-5.6 Terra
LiveCodeBench (Vals AI)	85.9%	82.0%	GPT-5.6 Terra
SWE-bench Verified (Vals AI)	95.4%	78.2%	GPT-5.6 Terra
Terminal-Bench 4 (Vals AI)	22.7%	Not measured	Only GPT-5.6 Terra measured
Vibe Code Bench (Vals AI)	74.6%	47.2%	GPT-5.6 Terra
Code migration (Vals AI)	47.8%	25.4%	GPT-5.6 Terra
ProgramBench (Vals AI)	0.5%	0.0%	GPT-5.6 Terra
IOI (Vals AI)	87.6%	Not measured	Only GPT-5.6 Terra measured
Terminal-Bench 2.1 (Vals AI)	77.5%	67.0%	GPT-5.6 Terra
Vibe Code Bench 1-100 (Vals AI)	14.8%	Not measured	Only GPT-5.6 Terra measured
SkillsBench (Vals AI)	58.9%	50.0%	GPT-5.6 Terra
CyberBench (Vals AI)	72.1%	Not measured	Only GPT-5.6 Terra measured
SciCode	55.0%	47.8%	GPT-5.6 Terra
Terminal-Bench Hard (Artificial Analysis run)	62.9%	44.7%	GPT-5.6 Terra
FrontierCode	41.3%	30.1%	GPT-5.6 Terra
WeirdML	78.3%	54.1%	GPT-5.6 Terra
ALE-Bench	1951.4	886.2	GPT-5.6 Terra
LMArena Text: coding	1485	Not measured	Only GPT-5.6 Terra measured
LMArena Text: software and IT	1482	Not measured	Only GPT-5.6 Terra measured
LMArena WebDev: React	1513	1475	GPT-5.6 Terra
LMArena WebDev: HTML	1526	1451	GPT-5.6 Terra
LMArena WebDev: from an image	1541	1513	GPT-5.6 Terra
Neither model has a result on the other 14 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 Terra	Kimi K2.7 Code	Leader
AA Intelligence Index	42.1	25.8	GPT-5.6 Terra
Epoch Capabilities Index	160.1	150.1	GPT-5.6 Terra

Agentic workLike-for-likePublic boards, shown as published, kept out of the index38

Agentic work benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 Terra	Kimi K2.7 Code	Leader
AA Agentic Index	43.2	21.0	GPT-5.6 Terra
Design Arena: agents building web apps	1120	1176	Kimi K2.7 Code
Design Arena: agents building full-stack apps	1061	1175	Kimi K2.7 Code
Design Arena: agents building mobile apps	1112	1143	Kimi K2.7 Code
Design Arena: agents building Android apps	1066	1143	Kimi K2.7 Code
Design Arena: agents building Godot games	Not measured	1147	Only Kimi K2.7 Code measured
Design Arena: agents building games	1082	1130	Kimi K2.7 Code
Design Arena: HTML slides	1108	1201	Kimi K2.7 Code
Design Arena: PowerPoint slides	1130	1154	Kimi K2.7 Code
LiveBench research	60.4%	Not measured	Only GPT-5.6 Terra measured
LiveBench browser	84.0%	Not measured	Only GPT-5.6 Terra measured
LiveBench long agentic	48.4%	Not measured	Only GPT-5.6 Terra measured
SREBench (Vals AI)	9.5%	Not measured	Only GPT-5.6 Terra measured
Finance Agent (Vals AI)	54.4%	Not measured	Only GPT-5.6 Terra measured
Tax Agent Bench (Vals AI)	30.0%	Not measured	Only GPT-5.6 Terra measured
Legal Research Bench (Vals AI)	41.4%	Not measured	Only GPT-5.6 Terra measured
Excel Modeling Benchmark (Vals AI)	66.2%	Not measured	Only GPT-5.6 Terra measured
Terminal-Bench-Science (Vals AI)	10.0%	Not measured	Only GPT-5.6 Terra measured
τ²-Bench Telecom	86.3%	90.1%	Kimi K2.7 Code
APEX-Agents	58.2%	37.6%	GPT-5.6 Terra
BALROG	53.2%	Not measured	Only GPT-5.6 Terra measured
Vending-Bench 2	$7,343	$5,083	GPT-5.6 Terra
Neither model has a result on the other 17 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index41

Reasoning benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 Terra	Kimi K2.7 Code	Leader
GPQA Diamond	90.9%	Not measured	Only GPT-5.6 Terra measured
LiveBench reasoning	90.6%	Not measured	Only GPT-5.6 Terra measured
MMMU Pro (Vals AI)	86.5%	Not measured	Only GPT-5.6 Terra measured
GPQA Diamond (Artificial Analysis run)	92.5%	89.6%	GPT-5.6 Terra
Humanity's Last Exam (Artificial Analysis run)	42.9%	35.0%	GPT-5.6 Terra
GPQA Diamond (Epoch AI run)	93.3%	87.9%	GPT-5.6 Terra
ARC-AGI	96.5%	Not measured	Only GPT-5.6 Terra measured
ARC-AGI-2	83.9%	Not measured	Only GPT-5.6 Terra measured
SimpleBench	48.9%	57.9%	Kimi K2.7 Code
Chess puzzles	47.0%	14.0%	GPT-5.6 Terra
Mystery game puzzles	35.0%	Not measured	Only GPT-5.6 Terra measured
LMArena Text: hard prompts	1469	Not measured	Only GPT-5.6 Terra measured
LMArena Text: expert	1496	Not measured	Only GPT-5.6 Terra measured
LMArena Text: hard prompts in English	1465	Not measured	Only GPT-5.6 Terra measured
LMArena Vision: diagrams	1295	Not measured	Only GPT-5.6 Terra measured
LMArena Vision: homework	1312	Not measured	Only GPT-5.6 Terra measured
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index30

Math benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 Terra	Kimi K2.7 Code	Leader
OTIS Mock AIME	99.7%	95.6%	GPT-5.6 Terra
FrontierMath, tiers 1 to 3	86.0%	54.0%	GPT-5.6 Terra
FrontierMath, tier 4	70.7%	12.2%	GPT-5.6 Terra
ProofBench	74.0%	Not measured	Only GPT-5.6 Terra measured
LMArena Text: math	1465	Not measured	Only GPT-5.6 Terra measured
LMArena Text: mathematical work	1478	Not measured	Only GPT-5.6 Terra measured
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10

Knowledge benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 Terra	Kimi K2.7 Code	Leader
MMLU Pro	86.7%	Not measured	Only GPT-5.6 Terra measured
LegalBench (Vals AI)	85.1%	Not measured	Only GPT-5.6 Terra measured
CorpFin (Vals AI)	65.3%	Not measured	Only GPT-5.6 Terra measured
TaxEval (Vals AI)	76.2%	Not measured	Only GPT-5.6 Terra measured
MortgageTax (Vals AI)	67.3%	Not measured	Only GPT-5.6 Terra measured
MedCode (Vals AI)	43.4%	Not measured	Only GPT-5.6 Terra measured
SimpleQA Verified	43.2%	36.5%	GPT-5.6 Terra
LMArena Text: science	1452	Not measured	Only GPT-5.6 Terra measured
LMArena Text: medicine and healthcare	1430	Not measured	Only GPT-5.6 Terra measured
LMArena Text: legal and government	1461	Not measured	Only GPT-5.6 Terra measured
LMArena Text: business and finance	1448	Not measured	Only GPT-5.6 Terra measured
Neither model has a result on the other 6 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index43

Web design benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 Terra	Kimi K2.7 Code	Leader
Design Arena: websites	1269	1264	GPT-5.6 Terra
Design Arena: UI components	1259	1259	Tie
Design Arena: game dev	1230	1220	GPT-5.6 Terra
Design Arena: data viz	1240	1226	GPT-5.6 Terra
Design Arena: 3D	1135	1241	Kimi K2.7 Code
Design Arena: all code categories	1241	1253	Kimi K2.7 Code
Design Arena: SVG	1220	1176	GPT-5.6 Terra
Design Arena: ASCII art	1177	1196	Kimi K2.7 Code
LiveBench design	76.0%	Not measured	Only GPT-5.6 Terra measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index30

General benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 Terra	Kimi K2.7 Code	Leader
LiveBench data analysis	79.3%	Not measured	Only GPT-5.6 Terra measured
Public Benefits Bench (Vals AI)	62.4%	Not measured	Only GPT-5.6 Terra measured
SAGE (Vals AI)	47.0%	Not measured	Only GPT-5.6 Terra measured
MedScribe (Vals AI)	82.9%	Not measured	Only GPT-5.6 Terra measured
Vals Multimodal Index	65.1%	Not measured	Only GPT-5.6 Terra measured
IFBench	71.2%	63.1%	GPT-5.6 Terra
Long context reasoning (AA-LCR)	83.0%	79.3%	GPT-5.6 Terra
DTBench	93.3%	Not measured	Only GPT-5.6 Terra measured
LMCA	54.9%	Not measured	Only GPT-5.6 Terra measured
Surface Evolver Bench	83.8%	48.8%	GPT-5.6 Terra
Furniture assembly	54.2%	Not measured	Only GPT-5.6 Terra measured
LMArena Text	1448	Not measured	Only GPT-5.6 Terra measured
LMArena Text: instruction following	1456	Not measured	Only GPT-5.6 Terra measured
LMArena Text: creative writing	1413	Not measured	Only GPT-5.6 Terra measured
LMArena Vision	1271	Not measured	Only GPT-5.6 Terra measured
LMArena Text: English	1449	Not measured	Only GPT-5.6 Terra measured
LMArena Text: non-English	1441	Not measured	Only GPT-5.6 Terra measured
LMArena Text: Chinese	1514	Not measured	Only GPT-5.6 Terra measured
LMArena Text: German	1460	Not measured	Only GPT-5.6 Terra measured
LMArena Text: Japanese	1454	Not measured	Only GPT-5.6 Terra measured
LMArena Text: Korean	1427	Not measured	Only GPT-5.6 Terra measured
LMArena Text: French	1466	Not measured	Only GPT-5.6 Terra measured
LMArena Text: Spanish	1451	Not measured	Only GPT-5.6 Terra measured
LMArena Text: Russian	1452	Not measured	Only GPT-5.6 Terra measured
LMArena Text: Polish	1446	Not measured	Only GPT-5.6 Terra measured
LMArena Text: multi-turn	1453	Not measured	Only GPT-5.6 Terra measured
LMArena Text: longer queries	1454	Not measured	Only GPT-5.6 Terra measured
LMArena Text: writing and language	1431	Not measured	Only GPT-5.6 Terra measured
LMArena Text: entertainment and media	1418	Not measured	Only GPT-5.6 Terra measured
LMArena Vision: English	1272	Not measured	Only GPT-5.6 Terra measured
LMArena Vision: Chinese	1337	Not measured	Only GPT-5.6 Terra measured
LMArena Vision: reading text	1278	Not measured	Only GPT-5.6 Terra measured
LMArena Vision: humor	1236	Not measured	Only GPT-5.6 Terra measured
LMArena Vision: creative writing	1248	Not measured	Only GPT-5.6 Terra measured
LMArena Document	1472	Not measured	Only GPT-5.6 Terra measured
Neither model has a result on the other 11 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for GPT-5.6 Terra and Kimi K2.7 Code
Benchmark	GPT-5.6 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

GPT-5.6 Terra$0.0080Fits in one request

Kimi K2.7 Code$0.0023Fits in one request

Kimi K2.7 Code costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Terra$0.136Fits in one request

Kimi K2.7 Code$0.044Fits in one request

Kimi K2.7 Code costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Terra$0.520Fits in one request

Kimi K2.7 Code$0.168Fits in one request

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.

Specifications of GPT-5.6 Terra and Kimi K2.7 Code
Specification	OpenAI GPT-5.6 Terra	MoonshotAI Kimi K2.7 Code
Maker	OpenAI	Moonshot AI
Weights	No public weights listed	Open weights
Released	July 9, 2026	June 12, 2026
Context window	1.05M	262K
Input $/Mtok	$2.00	$0.6712
Output $/Mtok	$12.00	$3.35
Coding index	69.0	39.1
Independent measurements behind it	2	1
Cost per solved task	$0.42	$0.35
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-5.6 Terra better than Kimi K2.7 Code for coding?

Pick GPT-5.6 Terra for coding: it scores 69.0 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code. Pick Kimi K2.7 Code when output tokens cost 3.6x less, or when a solved task costs $0.35 against $0.42.

Which is cheaper, GPT-5.6 Terra or Kimi K2.7 Code?

GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; Kimi K2.7 Code costs $0.6712 and $3.35. Per solved SWE-bench Verified task, GPT-5.6 Terra costs $0.42 and Kimi K2.7 Code $0.35.

Which has the bigger context window, GPT-5.6 Terra or Kimi K2.7 Code?

GPT-5.6 Terra, with 1.05M tokens against 262K.

How many benchmarks is the GPT-5.6 Terra vs Kimi K2.7 Code comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. GPT-5.6 Terra's coding index rests on 2 independent benchmarks and Kimi K2.7 Code's on 1. Where only one model has a result, the page says so instead of naming a winner.

Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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