GPT-5 vs Kimi K3
Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-5 for coding: it scores 72.2 on the Vibe Coding Index against 61.8 for Kimi K3.
Pick Kimi K3 when the context window is larger, 1.05M against 400K tokens, or when what matters is LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 71
- GPT-5 only
- 38
- Kimi K3 only
- 46
- Like-for-like categories
- 7 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
GPT-5 scores 72.2 against 61.8.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 23.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K3 has a AA Agentic Index result, 50.0.
Directional only
Reasoning
GPQA Diamond
Kimi K3
Kimi K3 leads, 92.9% against 85.6%.
Same board, both measured
Math
AIME
No call
Only GPT-5 has a AIME result, 93.4%.
Directional only
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 86.5%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1336 against 1185.
Same board, both measured
General
Vals Index
No call
Only Kimi K3 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
Kimi K3
Kimi K3 takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K3
GPT-5 $0.0063, Kimi K3 $0.0062 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5
GPT-5 $0.39, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5 72.2 from 3 benchmarks, Kimi K3 61.8 from 2 benchmarks.
- Widest category
- Coding, 26.3 points apart on average over 10 shared benchmarks.
- Widest single gap
- ProofBench: GPT-5 18.0% against Kimi K3 87.0%, 69.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5 $10.00 against Kimi K3 $11.936 per million output tokens, 1.2x apart.
- Context window
- GPT-5 takes 400K tokens, Kimi K3 1.05M.
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-5 | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 10 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 13 | ||
| Math | 0 | 6 | ||
| Knowledge | 1 | 10 | ||
| Web design | 0 | 7 | ||
| General | 0 | 22 | ||
| All shared boards | 1 | 70 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index010
| Benchmark | GPT-5 | Kimi K3 | Leader |
|---|---|---|---|
| Aider polyglot | 88.0% | Not measured | Only GPT-5 measured |
| SWE-bench Verified | 74.4% | Not measured | Only GPT-5 measured |
| LiveBench coding | Not measured | 59.3% | Only Kimi K3 measured |
| LMArena WebDev | 1418 | 1655 | Kimi K3 |
| AA Coding Index | 37.8 | 76.2 | Kimi K3 |
| LiveCodeBench (Vals AI) | 85.9% | 87.2% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 69.0% | 93.4% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 17.2% | Only Kimi K3 measured |
| Vibe Code Bench (Vals AI) | 20.1% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | Not measured | 16.1% | Only Kimi K3 measured |
| ProgramBench (Vals AI) | Not measured | 2.0% | Only Kimi K3 measured |
| IOI (Vals AI) | Not measured | 48.9% | Only Kimi K3 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 80.9% | Only Kimi K3 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 44.2% | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 18.2% | Only Kimi K3 measured |
| CyberBench (Vals AI) | Not measured | 75.2% | Only Kimi K3 measured |
| LiveCodeBench (Artificial Analysis run) | 84.6% | Not measured | Only GPT-5 measured |
| SciCode | Not measured | 59.5% | Only Kimi K3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | Not measured | Only GPT-5 measured |
| Terminal-Bench | 49.6% | Not measured | Only GPT-5 measured |
| FrontierCode | Not measured | 44.2% | Only Kimi K3 measured |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| GSO-Bench | 6.9% | Not measured | Only GPT-5 measured |
| WeirdML | 60.7% | 82.6% | Kimi K3 |
| ALE-Bench | 807.6 | 1524.5 | Kimi K3 |
| LMArena Text: coding | 1436 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1420 | 1499 | Kimi K3 |
| LMArena WebDev: React | Not measured | 1670 | Only Kimi K3 measured |
| LMArena WebDev: HTML | 1427 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | Not measured | 1579 | Only Kimi K3 measured |
| Neither model has a result on the other 8 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.0 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 150.0 | 157.9 | Kimi K3 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index30 boards, none shared
| Benchmark | GPT-5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 50.0 | Only Kimi K3 measured |
| Design Arena: agents building web apps | Not measured | 1296 | Only Kimi K3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1315 | Only Kimi K3 measured |
| Design Arena: agents building mobile apps | Not measured | 1267 | Only Kimi K3 measured |
| Design Arena: agents building Android apps | Not measured | 1256 | Only Kimi K3 measured |
| Design Arena: agents building Godot games | Not measured | 1223 | Only Kimi K3 measured |
| Design Arena: agents building games | Not measured | 1252 | Only Kimi K3 measured |
| Design Arena: HTML slides | Not measured | 1256 | Only Kimi K3 measured |
| Design Arena: PowerPoint slides | Not measured | 1273 | Only Kimi K3 measured |
| Design Arena: spreadsheets | Not measured | 1058 | Only Kimi K3 measured |
| LiveBench research | Not measured | 79.0% | Only Kimi K3 measured |
| LiveBench browser | Not measured | 16.0% | Only Kimi K3 measured |
| LiveBench long agentic | Not measured | 42.8% | Only Kimi K3 measured |
| Finance Agent (Vals AI) | Not measured | 53.1% | Only Kimi K3 measured |
| Tax Agent Bench (Vals AI) | Not measured | 33.4% | Only Kimi K3 measured |
| Legal Research Bench (Vals AI) | Not measured | 46.1% | Only Kimi K3 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.9% | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 66.7% | Only Kimi K3 measured |
| BioMysteryBench (Vals AI) | Not measured | 72.6% | Only Kimi K3 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 1.4% | Only Kimi K3 measured |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| τ²-Bench Telecom | 86.5% | Not measured | Only GPT-5 measured |
| APEX-Agents | Not measured | 47.8% | Only Kimi K3 measured |
| METR time horizons | 69.6% | Not measured | Only GPT-5 measured |
| Remote Labor Index | 1.7% | Not measured | Only GPT-5 measured |
| GDPval | 34.8% | Not measured | Only GPT-5 measured |
| BALROG | 32.8% | Not measured | Only GPT-5 measured |
| DeepResearch Bench | 49.6% | Not measured | Only GPT-5 measured |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| Vending-Bench 2 | Not measured | $5,165 | Only Kimi K3 measured |
| Neither model has a result on the other 9 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index013
| Benchmark | GPT-5 | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 85.6% | 92.9% | Kimi K3 |
| LiveBench reasoning | Not measured | 90.7% | Only Kimi K3 measured |
| MMMU Pro (Vals AI) | 81.5% | 88.2% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | 85.4% | 93.5% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 28.5% | 46.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 86.2% | 93.1% | Kimi K3 |
| ARC-AGI | 65.7% | 94.5% | Kimi K3 |
| ARC-AGI-2 | 9.9% | 60.4% | Kimi K3 |
| SimpleBench | 56.7% | 60.7% | Kimi K3 |
| Chess puzzles | 36.0% | 37.0% | Kimi K3 |
| Mystery game puzzles | 23.0% | 26.0% | Kimi K3 |
| EBR-bench | 12.7% | Not measured | Only GPT-5 measured |
| VPCT | 66.0% | Not measured | Only GPT-5 measured |
| LMArena Text: hard prompts | 1415 | 1495 | Kimi K3 |
| LMArena Text: expert | 1419 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1419 | 1496 | Kimi K3 |
| LMArena Vision: diagrams | 1252 | Not measured | Only GPT-5 measured |
| LMArena Vision: homework | 1278 | Not measured | Only GPT-5 measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | GPT-5 | Kimi K3 | Leader |
|---|---|---|---|
| AIME | 93.4% | Not measured | Only GPT-5 measured |
| MATH 500 (Vals AI) | 96.0% | Not measured | Only GPT-5 measured |
| MGSM (Vals AI) | 92.8% | Not measured | Only GPT-5 measured |
| AA Math Index | 94.3 | Not measured | Only GPT-5 measured |
| AIME 2025 (Artificial Analysis run) | 94.3% | Not measured | Only GPT-5 measured |
| OTIS Mock AIME | 91.4% | 97.2% | Kimi K3 |
| FrontierMath, tiers 1 to 3 | 55.4% | 72.2% | Kimi K3 |
| FrontierMath, tier 4 | 22.0% | 39.0% | Kimi K3 |
| ProofBench | 18.0% | 87.0% | Kimi K3 |
| MATH level 5 | 98.1% | Not measured | Only GPT-5 measured |
| LMArena Text: math | 1407 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1405 | 1505 | Kimi K3 |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | GPT-5 | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 86.5% | 88.0% | Kimi K3 |
| LegalBench (Vals AI) | 86.0% | 86.2% | Kimi K3 |
| CaseLaw (Vals AI) | 66.5% | Not measured | Only GPT-5 measured |
| CorpFin (Vals AI) | 61.1% | 71.6% | Kimi K3 |
| TaxEval (Vals AI) | 73.4% | 75.7% | Kimi K3 |
| MortgageTax (Vals AI) | 65.5% | 66.3% | Kimi K3 |
| MedQA (Vals AI) | 96.3% | Not measured | Only GPT-5 measured |
| MedCode (Vals AI) | 49.6% | 49.4% | GPT-5 |
| MMLU Pro (Artificial Analysis run) | 87.1% | Not measured | Only GPT-5 measured |
| SimpleQA Verified | 50.1% | 50.6% | Kimi K3 |
| GeoBench | 81.0% | Not measured | Only GPT-5 measured |
| LMArena Text: science | 1416 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1413 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1431 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1400 | 1470 | Kimi K3 |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | GPT-5 | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1185 | 1336 | Kimi K3 |
| Design Arena: UI components | 1179 | 1345 | Kimi K3 |
| Design Arena: game dev | 1185 | 1361 | Kimi K3 |
| Design Arena: data viz | 1221 | 1350 | Kimi K3 |
| Design Arena: 3D | 1056 | 1388 | Kimi K3 |
| Design Arena: all code categories | 1168 | 1361 | Kimi K3 |
| Design Arena: SVG | 1188 | 1301 | Kimi K3 |
| Design Arena: ASCII art | 1140 | Not measured | Only GPT-5 measured |
| LiveBench design | Not measured | 77.2% | Only Kimi K3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index022
| Benchmark | GPT-5 | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only Kimi K3 measured |
| LiveBench data analysis | Not measured | 78.7% | Only Kimi K3 measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.2% | Only Kimi K3 measured |
| SAGE (Vals AI) | 43.7% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 83.7% | 88.0% | Kimi K3 |
| Vals Multimodal Index | Not measured | 73.4% | Only Kimi K3 measured |
| IFBench | 73.1% | Not measured | Only GPT-5 measured |
| Long context reasoning (AA-LCR) | 78.2% | 88.7% | Kimi K3 |
| DTBench | 90.7% | 91.2% | Kimi K3 |
| LMCA | 40.0% | 52.7% | Kimi K3 |
| Fiction.LiveBench | 97.2% | Not measured | Only GPT-5 measured |
| Creative writing (Lech Mazur) | 86.0% | Not measured | Only GPT-5 measured |
| Surface Evolver Bench | Not measured | 95.0% | Only Kimi K3 measured |
| Furniture assembly | Not measured | 34.2% | Only Kimi K3 measured |
| LMArena Text | 1406 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1388 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1365 | 1457 | Kimi K3 |
| LMArena Vision | 1232 | Not measured | Only GPT-5 measured |
| LMArena Text: English | 1409 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1397 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1422 | 1529 | Kimi K3 |
| LMArena Text: German | 1416 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1409 | 1494 | Kimi K3 |
| LMArena Text: Korean | 1360 | 1460 | Kimi K3 |
| LMArena Text: French | 1409 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1399 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1407 | 1485 | Kimi K3 |
| LMArena Text: Polish | 1431 | 1458 | Kimi K3 |
| LMArena Text: multi-turn | 1426 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1399 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1384 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1379 | 1453 | Kimi K3 |
| LMArena Vision: English | 1231 | Not measured | Only GPT-5 measured |
| LMArena Vision: Chinese | 1267 | Not measured | Only GPT-5 measured |
| LMArena Vision: reading text | 1246 | Not measured | Only GPT-5 measured |
| LMArena Vision: humor | 1219 | Not measured | Only GPT-5 measured |
| LMArena Vision: captioning | 1212 | Not measured | Only GPT-5 measured |
| LMArena Vision: recognizing things | 1263 | Not measured | Only GPT-5 measured |
| LMArena Vision: creative writing | 1210 | Not measured | Only GPT-5 measured |
| Neither model has a result on the other 7 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 | Kimi K3 | 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 K3 costs less
Repository review
50K input + 3K output tokens
Kimi K3 costs less
Agent loop
200K input + 10K output tokens
Kimi K3 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-5 | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | August 7, 2025 | July 16, 2026 |
| Context window | 400K | 1.05M |
| Input $/Mtok | $1.25 | $0.239 |
| Output $/Mtok | $10.00 | $11.936 |
| Coding index | 72.2 | 61.8 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $0.39 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5 better than Kimi K3 for coding?
Pick GPT-5 for coding: it scores 72.2 on the Vibe Coding Index against 61.8 for Kimi K3. Pick Kimi K3 when the context window is larger, 1.05M against 400K tokens, or when what matters is LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, GPT-5 or Kimi K3?
GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Kimi K3 costs $0.239 and $11.936. Per solved SWE-bench Verified task, GPT-5 costs $0.39 and Kimi K3 $0.81.
Which has the bigger context window, GPT-5 or Kimi K3?
Kimi K3, with 1.05M tokens against 400K.
How many benchmarks is the GPT-5 vs Kimi K3 comparison based on?
71 benchmarks have a result for both models as of October 21, 2026. GPT-5's coding index rests on 3 independent benchmarks and Kimi K3's on 2. Where only one model has a result, the page says so instead of naming a winner.