Gemma 4 26B A4B vs Kimi K2.7 Code
Updated October 21, 2026. 18 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Kimi K2.7 Code for coding: it scores 39.1 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B.
Pick Gemma 4 26B A4B when output tokens cost 13.1x less, or when what matters is ALE-Bench or IFBench, where it leads.
- Shared results
- 18
- Gemma 4 26B A4B only
- 36
- Kimi K2.7 Code only
- 33
- Like-for-like categories
- 6 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
Kimi K2.7 Code
Kimi K2.7 Code scores 39.1 against 22.8.
One benchmark behind each score
Intelligence
AA Intelligence Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 25.8 against 16.7.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 21.0 against 2.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only Kimi K2.7 Code has a Design Arena: websites result, 1264.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
Gemma 4 26B A4B $0.0002, Kimi K2.7 Code $0.0023 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
- Gemma 4 26B A4B 22.8 from 1 benchmark, Kimi K2.7 Code 39.1 from 1 benchmark.
- Widest category
- Agentic work, 32.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against Kimi K2.7 Code 90.1%, 46.5 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 26B A4B $0.255 against Kimi K2.7 Code $3.35 per million output tokens, 13.1x apart.
- Context window
- Both take 262K tokens.
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 | Gemma 4 26B A4B | Bars | Kimi K2.7 Code | Ties |
|---|---|---|---|---|
| Coding | 1 | 7 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 1 | ||
| General | 1 | 1 | ||
| All shared boards | 2 | 16 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index17
| Benchmark | Gemma 4 26B A4B | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LMArena WebDev | 1360 | 1474 | Kimi K2.7 Code |
| AA Coding Index | 39.3 | 60.8 | Kimi K2.7 Code |
| 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 |
| Vibe Code Bench (Vals AI) | Not measured | 47.2% | Only Kimi K2.7 Code measured |
| Code migration (Vals AI) | Not measured | 25.4% | Only Kimi K2.7 Code measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Kimi K2.7 Code measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.0% | Only Kimi K2.7 Code measured |
| SkillsBench (Vals AI) | Not measured | 50.0% | Only Kimi K2.7 Code measured |
| SciCode | 40.0% | 47.8% | Kimi K2.7 Code |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 44.7% | Kimi K2.7 Code |
| FrontierCode | Not measured | 30.1% | Only Kimi K2.7 Code measured |
| WeirdML | 35.2% | 54.1% | Kimi K2.7 Code |
| ALE-Bench | 927.2 | 886.2 | Gemma 4 26B A4B |
| LMArena Text: coding | 1446 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: software and IT | 1454 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena WebDev: React | 1351 | 1475 | Kimi K2.7 Code |
| LMArena WebDev: HTML | 1362 | 1451 | Kimi K2.7 Code |
| LMArena WebDev: from an image | Not measured | 1513 | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 4 26B A4B | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | 25.8 | Kimi K2.7 Code |
| Epoch Capabilities Index | 141.9 | 150.1 | Kimi K2.7 Code |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 4 26B A4B | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Agentic Index | 2.9 | 21.0 | Kimi K2.7 Code |
| 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 | 1143 | 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 | 1201 | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | Not measured | 1154 | Only Kimi K2.7 Code measured |
| τ²-Bench Telecom | 43.6% | 90.1% | Kimi K2.7 Code |
| APEX-Agents | Not measured | 37.6% | Only Kimi K2.7 Code measured |
| Vending-Bench 2 | Not measured | $5,083 | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Gemma 4 26B A4B | Kimi K2.7 Code | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 79.2% | 89.6% | Kimi K2.7 Code |
| Humanity's Last Exam (Artificial Analysis run) | 19.3% | 35.0% | Kimi K2.7 Code |
| GPQA Diamond (Epoch AI run) | 73.2% | 87.9% | Kimi K2.7 Code |
| SimpleBench | Not measured | 57.9% | Only Kimi K2.7 Code measured |
| Chess puzzles | Not measured | 14.0% | Only Kimi K2.7 Code measured |
| LMArena Text: hard prompts | 1438 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: expert | 1447 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: hard prompts in English | 1448 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: diagrams | 1264 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: homework | 1293 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 26B A4B | Kimi K2.7 Code | Leader |
|---|---|---|---|
| OTIS Mock AIME | 82.2% | 95.6% | Kimi K2.7 Code |
| FrontierMath, tiers 1 to 3 | Not measured | 54.0% | Only Kimi K2.7 Code measured |
| FrontierMath, tier 4 | Not measured | 12.2% | Only Kimi K2.7 Code measured |
| LMArena Text: math | 1470 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: mathematical work | 1475 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Gemma 4 26B A4B | Kimi K2.7 Code | Leader |
|---|---|---|---|
| SimpleQA Verified | Not measured | 36.5% | Only Kimi K2.7 Code measured |
| LMArena Text: science | 1446 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: medicine and healthcare | 1428 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: legal and government | 1457 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: business and finance | 1429 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemma 4 26B A4B | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1264 | Only Kimi K2.7 Code measured |
| Design Arena: UI components | Not measured | 1259 | Only Kimi K2.7 Code measured |
| Design Arena: game dev | Not measured | 1220 | Only Kimi K2.7 Code measured |
| Design Arena: data viz | Not measured | 1226 | Only Kimi K2.7 Code measured |
| Design Arena: 3D | Not measured | 1241 | Only Kimi K2.7 Code measured |
| Design Arena: all code categories | Not measured | 1253 | Only Kimi K2.7 Code measured |
| 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 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Gemma 4 26B A4B | Kimi K2.7 Code | Leader |
|---|---|---|---|
| IFBench | 72.4% | 63.1% | Gemma 4 26B A4B |
| Long context reasoning (AA-LCR) | 65.7% | 79.3% | Kimi K2.7 Code |
| DTBench | 74.9% | Not measured | Only Gemma 4 26B A4B measured |
| LMCA | 29.7% | Not measured | Only Gemma 4 26B A4B measured |
| Surface Evolver Bench | Not measured | 48.8% | Only Kimi K2.7 Code measured |
| LMArena Text | 1434 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: instruction following | 1420 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: creative writing | 1400 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision | 1260 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: English | 1444 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: non-English | 1421 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: Chinese | 1495 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: French | 1460 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: Spanish | 1415 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: Russian | 1434 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: multi-turn | 1441 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: longer queries | 1427 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: writing and language | 1405 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: entertainment and media | 1403 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: English | 1256 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: Chinese | 1312 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: reading text | 1268 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: humor | 1272 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: captioning | 1297 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | 1191 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | 1256 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 26B A4B | 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
Gemma 4 26B A4B costs less
Repository review
50K input + 3K output tokens
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 26B A4B 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 Gemma 4 26B A4B | MoonshotAI Kimi K2.7 Code |
|---|---|---|
| Maker | Moonshot AI | |
| Weights | Open weights | Open weights |
| Released | April 3, 2026 | June 12, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.0765 | $0.6712 |
| Output $/Mtok | $0.255 | $3.35 |
| Coding index | 22.8 | 39.1 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 26B A4B better than Kimi K2.7 Code for coding?
Pick Kimi K2.7 Code for coding: it scores 39.1 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when output tokens cost 13.1x less, or when what matters is ALE-Bench or IFBench, where it leads.
Which is cheaper, Gemma 4 26B A4B or Kimi K2.7 Code?
Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; Kimi K2.7 Code costs $0.6712 and $3.35. Cost per solved task is known for Kimi K2.7 Code only.
Which has the bigger context window, Gemma 4 26B A4B or Kimi K2.7 Code?
Neither: both take 262K tokens.
How many benchmarks is the Gemma 4 26B A4B vs Kimi K2.7 Code comparison based on?
18 benchmarks have a result for both models as of October 21, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Kimi K2.7 Code's on 1. Where only one model has a result, the page says so instead of naming a winner.