Gemini 4 Argon vs Kimi K2.7 Code
Gemini 4 Argon leads Kimi K2.7 Code on coding, 81.0 to 53.4 on the Vibe Coding Index, and Kimi K2.7 Code costs 2.5x less per output token ($4.00 vs $10.00 per million). Updated October 22, 2026; 28 benchmarks have a result for both.
Gemini 4 Argon or Kimi K2.7 Code: which to pick
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code.
Pick Kimi K2.7 Code for output tokens 2.5x cheaper ($4.00 vs $10.00 per million) and work measured by Terminal-Bench 2.1 (Vals AI), where it leads.
- Shared results
- 28
- Gemini 4 Argon only
- 66
- Kimi K2.7 Code only
- 23
- 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
Gemini 4 Argon
Gemini 4 Argon scores 81.0 against 53.4.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 25.8.
Same board, both measured
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
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1263.
Same board, both measured
General
Vals Index
No call
Only Gemini 4 Argon has a Vals Index result, 69.2%.
Directional only
Long documents
Listed context window
Gemini 4 Argon
Gemini 4 Argon takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.7 Code
Gemini 4 Argon $0.0070, 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
- Gemini 4 Argon 81.0 from 5 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
- Widest category
- Agentic work, 49.4 points apart on average over 2 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: Gemini 4 Argon 78.0% against Kimi K2.7 Code 12.2%, 65.9 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against Kimi K2.7 Code $4.00 per million output tokens, 2.5x apart.
- Context window
- Gemini 4 Argon 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 | Gemini 4 Argon | Bars | Kimi K2.7 Code | Ties |
|---|---|---|---|---|
| Coding | 9 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 1 | 0 | ||
| Web design | 6 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 27 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index91
| Benchmark | Gemini 4 Argon | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev | 1678 | 1474 | Gemini 4 Argon |
| 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) | 57.6% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench (Vals AI) | 91.9% | 47.2% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | 25.4% | Gemini 4 Argon |
| ProgramBench (Vals AI) | 2.5% | 0.0% | Gemini 4 Argon |
| IOI (Vals AI) | 100.0% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | 67.0% | Kimi K2.7 Code |
| SWE-bench Multimodal (Vals AI) | 56.0% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | Not measured | Only Gemini 4 Argon measured |
| SkillsBench (Vals AI) | Not measured | 50.0% | Only Kimi K2.7 Code measured |
| CyberBench (Vals AI) | 77.9% | Not measured | Only Gemini 4 Argon measured |
| SciCode | 61.8% | 47.8% | Gemini 4 Argon |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 44.7% | Only Kimi K2.7 Code measured |
| FrontierCode | 47.5% | 30.1% | Gemini 4 Argon |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| WeirdML | Not measured | 54.1% | Only Kimi K2.7 Code measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 886.2 | Gemini 4 Argon |
| LMArena Text: coding | 1546 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: software and IT | 1556 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: React | 1692 | 1475 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1643 | 1451 | Gemini 4 Argon |
| LMArena WebDev: from an image | Not measured | 1513 | Only Kimi K2.7 Code measured |
| SciCode | 12.3% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Argon | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 25.8 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | 150.1 | Gemini 4 Argon |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Argon | 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 | 1176 | Only Kimi K2.7 Code measured |
| Design Arena: agents building full-stack apps | Not measured | 1175 | Only Kimi K2.7 Code measured |
| Design Arena: agents building mobile apps | Not measured | 1143 | Only Kimi K2.7 Code measured |
| Design Arena: agents building Android apps | Not measured | 1138 | 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 | 1130 | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | Not measured | 1151 | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | Not measured | 1129 | Only Kimi K2.7 Code measured |
| Design Arena: spreadsheets | 1157 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 83.1% | Not measured | Only Gemini 4 Argon measured |
| LiveBench browser | 92.0% | Not measured | Only Gemini 4 Argon measured |
| LiveBench long agentic | 69.9% | Not measured | Only Gemini 4 Argon measured |
| SREBench (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Finance Agent (Vals AI) | 65.4% | Not measured | Only Gemini 4 Argon measured |
| Tax Agent Bench (Vals AI) | 44.6% | Not measured | Only Gemini 4 Argon measured |
| Legal Research Bench (Vals AI) | 54.8% | Not measured | Only Gemini 4 Argon measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | Not measured | Only Gemini 4 Argon measured |
| Excel Modeling Benchmark (Vals AI) | 75.2% | Not measured | Only Gemini 4 Argon measured |
| BioMysteryBench (Vals AI) | 76.3% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Vals Science Index | 55.4% | Not measured | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | 52.5% | Not measured | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | 4.8% | Not measured | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | 0.8% | Not measured | Only Gemini 4 Argon measured |
| τ²-Bench Telecom | Not measured | 90.1% | Only Kimi K2.7 Code measured |
| APEX-Agents | 82.4% | 37.6% | Gemini 4 Argon |
| Vending-Bench 2 | $13,718 | $5,083 | Gemini 4 Argon |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 4 Argon | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LiveBench reasoning | 95.1% | Not measured | Only Gemini 4 Argon measured |
| MysteryMechanism (Vals AI) | 45.5% | Not measured | Only Gemini 4 Argon measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.6% | Only Kimi K2.7 Code measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 35.0% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | 87.9% | Gemini 4 Argon |
| ARC-AGI | 98.5% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI-2 | 91.3% | Not measured | Only Gemini 4 Argon measured |
| SimpleBench | Not measured | 57.9% | Only Kimi K2.7 Code measured |
| Chess puzzles | 59.0% | 14.0% | Gemini 4 Argon |
| Mystery game puzzles | 64.0% | Not measured | Only Gemini 4 Argon measured |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1546 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: expert | 1550 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts in English | 1548 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 4 Argon | Kimi K2.7 Code | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 95.6% | Gemini 4 Argon |
| FrontierMath, tiers 1 to 3 | 86.0% | 54.0% | Gemini 4 Argon |
| FrontierMath, tier 4 | 78.0% | 12.2% | Gemini 4 Argon |
| ProofBench | 99.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: math | 1536 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: mathematical work | 1557 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 88.3% | Not measured | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | 58.8% | Not measured | Only Gemini 4 Argon measured |
| SimpleQA Verified | 76.0% | 36.5% | Gemini 4 Argon |
| LMArena Text: science | 1548 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: medicine and healthcare | 1555 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: legal and government | 1548 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: business and finance | 1525 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1263 | Gemini 4 Argon |
| Design Arena: UI components | 1333 | 1255 | Gemini 4 Argon |
| Design Arena: game dev | 1377 | 1220 | Gemini 4 Argon |
| Design Arena: data viz | 1332 | 1227 | Gemini 4 Argon |
| Design Arena: 3D | 1388 | 1240 | Gemini 4 Argon |
| Design Arena: all code categories | 1329 | 1252 | Gemini 4 Argon |
| Design Arena: SVG | Not measured | 1176 | Only Kimi K2.7 Code measured |
| Design Arena: ASCII art | Not measured | 1196 | Only Kimi K2.7 Code measured |
| LiveBench design | 73.7% | Not measured | Only Gemini 4 Argon measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Vals Index | 69.2% | Not measured | Only Gemini 4 Argon measured |
| LiveBench data analysis | 85.2% | Not measured | Only Gemini 4 Argon measured |
| Public Benefits Bench (Vals AI) | 69.8% | Not measured | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | 53.6% | Not measured | Only Gemini 4 Argon measured |
| MedScribe (Vals AI) | 87.4% | Not measured | Only Gemini 4 Argon measured |
| IFBench | Not measured | 63.1% | Only Kimi K2.7 Code measured |
| Long context reasoning (AA-LCR) | 79.7% | 79.3% | Gemini 4 Argon |
| DTBench | 97.6% | Not measured | Only Gemini 4 Argon measured |
| LMCA | 63.7% | Not measured | Only Gemini 4 Argon measured |
| Surface Evolver Bench | Not measured | 48.8% | Only Kimi K2.7 Code measured |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1532 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: instruction following | 1534 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: creative writing | 1527 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: English | 1538 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: non-English | 1522 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Chinese | 1611 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Spanish | 1503 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Russian | 1534 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: multi-turn | 1556 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: longer queries | 1547 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: writing and language | 1529 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: entertainment and media | 1527 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | 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 | Google Gemini 4 Argon | MoonshotAI Kimi K2.7 Code |
|---|---|---|
| Maker | Moonshot AI | |
| Weights | No public weights listed | Open weights |
| Released | October 13, 2026 | June 12, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $2.00 | $0.95 |
| Output $/Mtok | $10.00 | $4.00 |
| Coding index | 81.0 | 53.4 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | Not computable | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than Kimi K2.7 Code for coding?
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code. Pick Kimi K2.7 Code for output tokens 2.5x cheaper ($4.00 vs $10.00 per million) and work measured by Terminal-Bench 2.1 (Vals AI), where it leads.
Which is cheaper, Gemini 4 Argon or Kimi K2.7 Code?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 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, Gemini 4 Argon or Kimi K2.7 Code?
Gemini 4 Argon, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 4 Argon vs Kimi K2.7 Code comparison based on?
28 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 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.