GPT-5 Mini vs Kimi K3
Kimi K3 leads GPT-5 Mini on coding, 62.3 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 7.5x less per output token ($2.00 vs $15.00 per million). Updated October 21, 2026; 68 benchmarks have a result for both.
GPT-5 Mini or Kimi K3: which to pick
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 34.2 for GPT-5 Mini.
Pick GPT-5 Mini for output tokens 7.5x cheaper ($2.00 vs $15.00 per million) and a lower cost per solved task ($0.08 against $0.81).
- Shared results
- 68
- GPT-5 Mini only
- 33
- Kimi K3 only
- 49
- Like-for-like categories
- 8 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
Kimi K3
Kimi K3 scores 62.3 against 34.2.
2 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 20.6.
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 80.3%.
Same board, both measured
Math
AIME
No call
Only GPT-5 Mini has a AIME result, 91.5%.
Directional only
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 82.2%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1335 against 1125.
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
GPT-5 Mini
GPT-5 Mini $0.0013, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5 Mini
GPT-5 Mini $0.08, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5 Mini 34.2 from 2 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Agentic work, 32.3 points apart on average over 1 shared benchmark.
- Widest single gap
- ProofBench: GPT-5 Mini 9.0% against Kimi K3 87.0%, 78.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5 Mini $2.00 against Kimi K3 $15.00 per million output tokens, 7.5x apart.
- Context window
- GPT-5 Mini 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 Mini | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 12 | ||
| Math | 0 | 6 | ||
| Knowledge | 1 | 10 | ||
| Web design | 0 | 7 | ||
| General | 0 | 22 | ||
| All shared boards | 1 | 67 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | GPT-5 Mini | Kimi K3 | Leader |
|---|---|---|---|
| SWE-bench Verified | 59.8% | Not measured | Only GPT-5 Mini measured |
| SWE-bench Multilingual | 39.7% | Not measured | Only GPT-5 Mini measured |
| LiveBench coding | Not measured | 59.3% | Only Kimi K3 measured |
| LMArena WebDev | Not measured | 1655 | Only Kimi K3 measured |
| AA Coding Index | Not measured | 76.2 | Only Kimi K3 measured |
| LiveCodeBench (Vals AI) | 86.6% | 87.2% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 60.8% | 93.4% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 17.2% | Only Kimi K3 measured |
| Vibe Code Bench (Vals AI) | 14.2% | 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) | 83.8% | Not measured | Only GPT-5 Mini measured |
| SciCode | 39.0% | 59.5% | Kimi K3 |
| Terminal-Bench Hard (Artificial Analysis run) | 33.3% | Not measured | Only GPT-5 Mini measured |
| Terminal-Bench | 34.8% | Not measured | Only GPT-5 Mini measured |
| FrontierCode | Not measured | 44.2% | Only Kimi K3 measured |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| WeirdML | 52.7% | 82.6% | Kimi K3 |
| ALE-Bench | Not measured | 1524.5 | Only Kimi K3 measured |
| LMArena Text: coding | 1406 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1394 | 1499 | Kimi K3 |
| LMArena WebDev: React | Not measured | 1670 | Only Kimi K3 measured |
| LMArena WebDev: HTML | Not measured | 1644 | Only Kimi K3 measured |
| LMArena WebDev: from an image | Not measured | 1579 | Only Kimi K3 measured |
| Neither model has a result on the other 10 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-5 Mini | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.6 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 145.3 | 157.9 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5 Mini | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 50.0 | Only Kimi K3 measured |
| Design Arena: agents building web apps | Not measured | 1295 | 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 | 1269 | Only Kimi K3 measured |
| Design Arena: agents building Android apps | Not measured | 1250 | 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 | 71.1% | Not measured | Only GPT-5 Mini measured |
| APEX-Agents | Not measured | 47.8% | Only Kimi K3 measured |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| Vending-Bench 2 | -$31 | $5,165 | Kimi K3 |
| Berkeley Function Calling Leaderboard (BFCL) | 55.5% | Not measured | Only GPT-5 Mini measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index012
| Benchmark | GPT-5 Mini | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 80.3% | 92.9% | Kimi K3 |
| LiveBench reasoning | Not measured | 90.7% | Only Kimi K3 measured |
| MMMU Pro (Vals AI) | 78.9% | 88.2% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | 82.8% | 93.5% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 21.5% | 46.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 75.0% | 93.1% | Kimi K3 |
| ARC-AGI | 54.3% | 94.5% | Kimi K3 |
| ARC-AGI-2 | 4.4% | 60.4% | Kimi K3 |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 24.0% | 37.0% | Kimi K3 |
| Mystery game puzzles | 10.0% | 26.0% | Kimi K3 |
| VPCT | 40.2% | Not measured | Only GPT-5 Mini measured |
| LMArena Text: hard prompts | 1380 | 1495 | Kimi K3 |
| LMArena Text: expert | 1379 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1383 | 1496 | Kimi K3 |
| LMArena Vision: diagrams | 1202 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: homework | 1210 | Not measured | Only GPT-5 Mini measured |
| Kagi LLM Benchmark | 70.3% | Not measured | Only GPT-5 Mini measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | GPT-5 Mini | Kimi K3 | Leader |
|---|---|---|---|
| AIME | 91.5% | Not measured | Only GPT-5 Mini measured |
| MATH 500 (Vals AI) | 94.8% | Not measured | Only GPT-5 Mini measured |
| MGSM (Vals AI) | 92.6% | Not measured | Only GPT-5 Mini measured |
| AA Math Index | 90.7 | Not measured | Only GPT-5 Mini measured |
| AIME 2025 (Artificial Analysis run) | 90.7% | Not measured | Only GPT-5 Mini measured |
| OTIS Mock AIME | 86.7% | 97.2% | Kimi K3 |
| FrontierMath, tiers 1 to 3 | 46.7% | 72.2% | Kimi K3 |
| FrontierMath, tier 4 | 12.2% | 39.0% | Kimi K3 |
| ProofBench | 9.0% | 87.0% | Kimi K3 |
| MATH level 5 | 97.8% | Not measured | Only GPT-5 Mini measured |
| LMArena Text: math | 1378 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1380 | 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 Mini | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 82.2% | 88.0% | Kimi K3 |
| LegalBench (Vals AI) | 81.8% | 86.2% | Kimi K3 |
| CaseLaw (Vals AI) | 68.5% | Not measured | Only GPT-5 Mini measured |
| CorpFin (Vals AI) | 60.2% | 71.6% | Kimi K3 |
| TaxEval (Vals AI) | 75.2% | 75.7% | Kimi K3 |
| MortgageTax (Vals AI) | 66.9% | 66.3% | GPT-5 Mini |
| MedQA (Vals AI) | 96.1% | Not measured | Only GPT-5 Mini measured |
| MedCode (Vals AI) | 43.0% | 49.4% | Kimi K3 |
| MMLU Pro (Artificial Analysis run) | 83.7% | Not measured | Only GPT-5 Mini measured |
| SimpleQA Verified | 21.6% | 50.6% | Kimi K3 |
| LMArena Text: science | 1371 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1380 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1375 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1358 | 1470 | Kimi K3 |
| FACTS Benchmark Suite | 38.6% | Not measured | Only GPT-5 Mini measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | GPT-5 Mini | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1125 | 1335 | Kimi K3 |
| Design Arena: UI components | 1106 | 1344 | Kimi K3 |
| Design Arena: game dev | 1130 | 1359 | Kimi K3 |
| Design Arena: data viz | 1130 | 1351 | Kimi K3 |
| Design Arena: 3D | 1037 | 1388 | Kimi K3 |
| Design Arena: all code categories | 1115 | 1360 | Kimi K3 |
| Design Arena: SVG | 1091 | 1302 | Kimi K3 |
| Design Arena: ASCII art | 1125 | Not measured | Only GPT-5 Mini 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 Mini | 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) | 43.0% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 80.6% | 88.0% | Kimi K3 |
| Vals Multimodal Index | Not measured | 73.4% | Only Kimi K3 measured |
| IFBench | 75.4% | Not measured | Only GPT-5 Mini measured |
| Long context reasoning (AA-LCR) | 72.3% | 88.7% | Kimi K3 |
| DTBench | 80.5% | 91.2% | Kimi K3 |
| LMCA | 34.2% | 52.7% | Kimi K3 |
| Fiction.LiveBench | 69.4% | Not measured | Only GPT-5 Mini measured |
| Creative writing (Lech Mazur) | 83.1% | Not measured | Only GPT-5 Mini measured |
| Surface Evolver Bench | Not measured | 95.0% | Only Kimi K3 measured |
| Furniture assembly | Not measured | 34.2% | Only Kimi K3 measured |
| LMArena Text | 1373 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1357 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1325 | 1457 | Kimi K3 |
| LMArena Vision | 1202 | Not measured | Only GPT-5 Mini measured |
| LMArena Text: English | 1379 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1363 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1386 | 1529 | Kimi K3 |
| LMArena Text: German | 1366 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1341 | 1494 | Kimi K3 |
| LMArena Text: Korean | 1308 | 1460 | Kimi K3 |
| LMArena Text: French | 1386 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1354 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1362 | 1485 | Kimi K3 |
| LMArena Text: Polish | 1378 | 1458 | Kimi K3 |
| LMArena Text: multi-turn | 1363 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1355 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1344 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1340 | 1453 | Kimi K3 |
| LMArena Vision: English | 1216 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: Chinese | 1214 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: reading text | 1199 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: humor | 1205 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: captioning | 1217 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: recognizing things | 1226 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: creative writing | 1181 | Not measured | Only GPT-5 Mini 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 Mini | 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
GPT-5 Mini costs less
Repository review
50K input + 3K output tokens
GPT-5 Mini costs less
Agent loop
200K input + 10K output tokens
GPT-5 Mini 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 Mini | 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 | $0.25 | $3.00 |
| Output $/Mtok | $2.00 | $15.00 |
| Coding index | 34.2 | 62.3 |
| Independent measurements behind it | 2 | 6 |
| Cost per solved task | $0.08 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5 Mini better than Kimi K3 for coding?
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 34.2 for GPT-5 Mini. Pick GPT-5 Mini for output tokens 7.5x cheaper ($2.00 vs $15.00 per million) and a lower cost per solved task ($0.08 against $0.81).
Which is cheaper, GPT-5 Mini or Kimi K3?
GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Kimi K3 costs $3.00 and $15.00. Per solved SWE-bench Verified task, GPT-5 Mini costs $0.08 and Kimi K3 $0.81.
Which has the bigger context window, GPT-5 Mini or Kimi K3?
Kimi K3, with 1.05M tokens against 400K.
How many benchmarks is the GPT-5 Mini vs Kimi K3 comparison based on?
68 benchmarks have a result for both models as of October 21, 2026. GPT-5 Mini's coding index rests on 2 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.