GPT-5.4 Nano vs Kimi K2.5
GPT-5.4 Nano leads Kimi K2.5 on coding, 44.8 to 38.6 on the Vibe Coding Index, and GPT-5.4 Nano costs 2.3x less per output token ($1.25 vs $2.85 per million). Updated October 22, 2026; 71 benchmarks have a result for both.
GPT-5.4 Nano or Kimi K2.5: which to pick
Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 38.6 for Kimi K2.5, though on 2 benchmarks against 3.
Pick Kimi K2.5 for work measured by SWE-bench Verified (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
- Shared results
- 71
- GPT-5.4 Nano only
- 14
- Kimi K2.5 only
- 28
- 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-5.4 Nano
GPT-5.4 Nano scores 44.8 against 38.6.
2 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K2.5
Kimi K2.5 leads, 23.5 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Nano has a AA Agentic Index result, 16.0.
Directional only
Reasoning
GPQA Diamond
Kimi K2.5
Kimi K2.5 leads, 84.1% against 77.5%.
Same board, both measured
Math
AIME
Kimi K2.5
Kimi K2.5 leads, 95.6% against 88.8%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2.5
Kimi K2.5 leads, 85.9% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Kimi K2.5 has a Design Arena: websites result, 1248.
Directional only
Long documents
Listed context window
GPT-5.4 Nano
GPT-5.4 Nano takes 400K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
GPT-5.4 Nano $0.0008, Kimi K2.5 $0.0020 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.4 Nano
GPT-5.4 Nano $0.14, Kimi K2.5 $0.24.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.4 Nano 44.8 from 2 benchmarks, Kimi K2.5 38.6 from 3 benchmarks.
- Widest category
- General, 12.9 points apart on average over 28 shared benchmarks.
- Widest single gap
- Kagi LLM Benchmark: GPT-5.4 Nano 39.7% against Kimi K2.5 78.5%, 38.8 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Nano $1.25 against Kimi K2.5 $2.85 per million output tokens, 2.3x apart.
- Context window
- GPT-5.4 Nano takes 400K tokens, Kimi K2.5 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-5.4 Nano | Bars | Kimi K2.5 | Ties |
|---|---|---|---|---|
| Coding | 7 | 4 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 2 | 2 | ||
| Reasoning | 0 | 12 | ||
| Math | 0 | 3 | ||
| Knowledge | 1 | 10 | ||
| General | 2 | 26 | ||
| All shared boards | 12 | 59 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index74
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 70.8% | Only Kimi K2.5 measured |
| SWE-bench Multilingual | Not measured | 67.3% | Only Kimi K2.5 measured |
| LMArena WebDev | Not measured | 1437 | Only Kimi K2.5 measured |
| AA Coding Index | 56.1 | 46.8 | GPT-5.4 Nano |
| LiveCodeBench (Vals AI) | 84.0% | 83.9% | GPT-5.4 Nano |
| SWE-bench Verified (Vals AI) | 69.8% | 70.0% | Kimi K2.5 |
| Vibe Code Bench (Vals AI) | 26.1% | 17.5% | GPT-5.4 Nano |
| Code migration (Vals AI) | 14.5% | 7.0% | GPT-5.4 Nano |
| Terminal-Bench 2.1 (Vals AI) | 41.6% | 42.0% | Kimi K2.5 |
| SciCode | 47.2% | Not measured | Only GPT-5.4 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | 42.4% | 34.8% | GPT-5.4 Nano |
| Terminal-Bench | Not measured | 43.2% | Only Kimi K2.5 measured |
| WeirdML | 49.2% | 45.6% | GPT-5.4 Nano |
| ALE-Bench | 1004.5 | 821.6 | GPT-5.4 Nano |
| LMArena Text: coding | 1404 | 1483 | Kimi K2.5 |
| LMArena Text: software and IT | 1402 | 1471 | Kimi K2.5 |
| LMArena WebDev: React | Not measured | 1429 | Only Kimi K2.5 measured |
| LMArena WebDev: HTML | Not measured | 1426 | Only Kimi K2.5 measured |
| LMArena WebDev: from an image | Not measured | 1439 | Only Kimi K2.5 measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 23.5 | Kimi K2.5 |
| Epoch Capabilities Index | 146.0 | 148.1 | Kimi K2.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 16.0 | Not measured | Only GPT-5.4 Nano measured |
| Design Arena: agents building web apps | Not measured | 1136 | Only Kimi K2.5 measured |
| Design Arena: agents building full-stack apps | Not measured | 1114 | Only Kimi K2.5 measured |
| Design Arena: agents building mobile apps | Not measured | 1147 | Only Kimi K2.5 measured |
| Design Arena: agents building Android apps | Not measured | 1118 | Only Kimi K2.5 measured |
| Design Arena: agents building Godot games | Not measured | 1219 | Only Kimi K2.5 measured |
| Finance Agent (Vals AI) | 38.2% | 35.8% | GPT-5.4 Nano |
| Tax Agent Bench (Vals AI) | 5.0% | Not measured | Only GPT-5.4 Nano measured |
| Legal Research Bench (Vals AI) | 6.3% | 15.9% | Kimi K2.5 |
| Excel Modeling Benchmark (Vals AI) | 44.8% | 28.5% | GPT-5.4 Nano |
| τ²-Bench Telecom | 76.0% | 95.9% | Kimi K2.5 |
| OSWorld | Not measured | 63.3% | Only Kimi K2.5 measured |
| Vending-Bench 2 | Not measured | $1,198 | Only Kimi K2.5 measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index012
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 77.5% | 84.1% | Kimi K2.5 |
| MMMU Pro (Vals AI) | 73.6% | 84.3% | Kimi K2.5 |
| GPQA Diamond (Artificial Analysis run) | 81.7% | 87.9% | Kimi K2.5 |
| Humanity's Last Exam (Artificial Analysis run) | 28.3% | 30.7% | Kimi K2.5 |
| GPQA Diamond (Epoch AI run) | 78.5% | Not measured | Only GPT-5.4 Nano measured |
| ARC-AGI | 51.5% | 65.3% | Kimi K2.5 |
| ARC-AGI-2 | 5.7% | 11.8% | Kimi K2.5 |
| SimpleBench | Not measured | 46.8% | Only Kimi K2.5 measured |
| Chess puzzles | 45.0% | Not measured | Only GPT-5.4 Nano measured |
| Mystery game puzzles | 9.0% | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: hard prompts | 1381 | 1453 | Kimi K2.5 |
| LMArena Text: expert | 1396 | 1466 | Kimi K2.5 |
| LMArena Text: hard prompts in English | 1387 | 1460 | Kimi K2.5 |
| LMArena Vision: diagrams | 1210 | 1282 | Kimi K2.5 |
| LMArena Vision: homework | 1225 | 1297 | Kimi K2.5 |
| Kagi LLM Benchmark | 39.7% | 78.5% | Kimi K2.5 |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | Leader |
|---|---|---|---|
| AIME | 88.8% | 95.6% | Kimi K2.5 |
| OTIS Mock AIME | 87.8% | Not measured | Only GPT-5.4 Nano measured |
| FrontierMath, tiers 1 to 3 | 44.9% | Not measured | Only GPT-5.4 Nano measured |
| FrontierMath, tier 4 | 12.2% | Not measured | Only GPT-5.4 Nano measured |
| ProofBench | 5.0% | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: math | 1405 | 1470 | Kimi K2.5 |
| LMArena Text: mathematical work | 1409 | 1473 | Kimi K2.5 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | Leader |
|---|---|---|---|
| MMLU Pro | 77.2% | 85.9% | Kimi K2.5 |
| LegalBench (Vals AI) | 77.9% | Not measured | Only GPT-5.4 Nano measured |
| CaseLaw (Vals AI) | 51.9% | 58.7% | Kimi K2.5 |
| CorpFin (Vals AI) | 61.2% | 68.3% | Kimi K2.5 |
| TaxEval (Vals AI) | 67.4% | 74.2% | Kimi K2.5 |
| MortgageTax (Vals AI) | 59.1% | 66.5% | Kimi K2.5 |
| MedQA (Vals AI) | Not measured | 94.4% | Only Kimi K2.5 measured |
| MedCode (Vals AI) | 41.0% | 39.3% | GPT-5.4 Nano |
| SimpleQA Verified | 11.7% | 34.3% | Kimi K2.5 |
| LMArena Text: science | 1374 | 1459 | Kimi K2.5 |
| LMArena Text: medicine and healthcare | 1369 | 1448 | Kimi K2.5 |
| LMArena Text: legal and government | 1368 | 1441 | Kimi K2.5 |
| LMArena Text: business and finance | 1366 | 1427 | Kimi K2.5 |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1248 | Only Kimi K2.5 measured |
| Design Arena: UI components | Not measured | 1234 | Only Kimi K2.5 measured |
| Design Arena: game dev | Not measured | 1206 | Only Kimi K2.5 measured |
| Design Arena: data viz | Not measured | 1219 | Only Kimi K2.5 measured |
| Design Arena: 3D | Not measured | 1204 | Only Kimi K2.5 measured |
| Design Arena: all code categories | Not measured | 1236 | Only Kimi K2.5 measured |
| Design Arena: SVG | Not measured | 1149 | Only Kimi K2.5 measured |
| Design Arena: ASCII art | Not measured | 1166 | Only Kimi K2.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index226
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 38.1% | 49.9% | Kimi K2.5 |
| MedScribe (Vals AI) | 77.1% | 76.4% | GPT-5.4 Nano |
| Vals Multimodal Index | 47.6% | Not measured | Only GPT-5.4 Nano measured |
| IFBench | 75.9% | 70.2% | GPT-5.4 Nano |
| Long context reasoning (AA-LCR) | 76.7% | 78.0% | Kimi K2.5 |
| DTBench | 80.3% | Not measured | Only GPT-5.4 Nano measured |
| LMCA | 36.9% | Not measured | Only GPT-5.4 Nano measured |
| Fiction.LiveBench | Not measured | 86.1% | Only Kimi K2.5 measured |
| CL-bench | Not measured | 19.3% | Only Kimi K2.5 measured |
| CL-bench Life | Not measured | 13.2% | Only Kimi K2.5 measured |
| LMArena Text | 1372 | 1445 | Kimi K2.5 |
| LMArena Text: instruction following | 1362 | 1431 | Kimi K2.5 |
| LMArena Text: creative writing | 1315 | 1422 | Kimi K2.5 |
| LMArena Vision | 1196 | 1269 | Kimi K2.5 |
| LMArena Text: English | 1381 | 1453 | Kimi K2.5 |
| LMArena Text: non-English | 1359 | 1433 | Kimi K2.5 |
| LMArena Text: Chinese | 1391 | 1494 | Kimi K2.5 |
| LMArena Text: German | 1368 | 1441 | Kimi K2.5 |
| LMArena Text: Japanese | 1343 | 1423 | Kimi K2.5 |
| LMArena Text: Korean | 1321 | 1412 | Kimi K2.5 |
| LMArena Text: French | 1395 | 1454 | Kimi K2.5 |
| LMArena Text: Spanish | 1371 | 1450 | Kimi K2.5 |
| LMArena Text: Russian | 1363 | 1435 | Kimi K2.5 |
| LMArena Text: Polish | 1366 | 1445 | Kimi K2.5 |
| LMArena Text: multi-turn | 1382 | 1444 | Kimi K2.5 |
| LMArena Text: longer queries | 1365 | 1445 | Kimi K2.5 |
| LMArena Text: writing and language | 1338 | 1425 | Kimi K2.5 |
| LMArena Text: entertainment and media | 1325 | 1417 | Kimi K2.5 |
| LMArena Vision: English | 1202 | 1274 | Kimi K2.5 |
| LMArena Vision: Chinese | 1232 | 1328 | Kimi K2.5 |
| LMArena Vision: reading text | 1204 | 1276 | Kimi K2.5 |
| LMArena Vision: humor | 1161 | 1284 | Kimi K2.5 |
| LMArena Vision: captioning | Not measured | 1257 | Only Kimi K2.5 measured |
| LMArena Vision: recognizing things | 1141 | 1285 | Kimi K2.5 |
| LMArena Vision: creative writing | 1159 | 1269 | Kimi K2.5 |
| 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
| Benchmark | GPT-5.4 Nano | Kimi K2.5 | 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-5.4 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 Nano 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-5.4 Nano | MoonshotAI Kimi K2.5 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | March 17, 2026 | January 27, 2026 |
| Context window | 400K | 262K |
| Input $/Mtok | $0.20 | $0.532 |
| Output $/Mtok | $1.25 | $2.85 |
| Coding index | 44.8 | 38.6 |
| Independent measurements behind it | 2 | 3 |
| Cost per solved task | $0.14 | $0.24 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Nano better than Kimi K2.5 for coding?
Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 38.6 for Kimi K2.5, though on 2 benchmarks against 3. Pick Kimi K2.5 for work measured by SWE-bench Verified (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
Which is cheaper, GPT-5.4 Nano or Kimi K2.5?
GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, GPT-5.4 Nano costs $0.14 and Kimi K2.5 $0.24.
Which has the bigger context window, GPT-5.4 Nano or Kimi K2.5?
GPT-5.4 Nano, with 400K tokens against 262K.
How many benchmarks is the GPT-5.4 Nano vs Kimi K2.5 comparison based on?
71 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano's coding index rests on 2 independent benchmarks and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.