Model comparison
Gemma 4 31B IT vs Kimi K2.7 Code
Gemma 4 31B IT and Kimi K2.7 Code score almost the same on the Noometry Index (43.5 vs 43.3), so choose on price, context window or the category you care about most.
Last verified . 11 shared benchmarks.
GoogleSummary
- They share 11 benchmarks with published results for both. Gemma 4 31B IT scores higher in 0 categories and Kimi K2.7 Code in 4 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 37.9.
- The biggest single-benchmark swing is SimpleQA Verified: 10.4% for Gemma 4 31B IT and 36.5% for Kimi K2.7 Code.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
Side by side
| Gemma 4 31B IT | Kimi K2.7 Code | |
|---|---|---|
| Provider | Moonshot AI | |
| Noometry Index | 43.5 | 43.3 |
| Released | 2026-04-02 | 2026-06-12 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 33K | 262K |
| Input $ / M tokens | $0.09 | $0.95 |
| Output $ / M tokens | $0.34 | $4 |
| Results tracked | 35 | 19 |
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Category by category
Coding Too close to call
Gemma 4 31B IT: 42.3 (#108), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| LMArena WebDev | 1366 | 1473 |
| SciCode | 43.4% | 47.5% |
| WeirdML | 52.3% | 54.1% |
| ALE-Bench | 925.5 | 886.23 |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena Coding | 1459 | — |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Gemma 4 31B IT: 27.2 (#122), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| CritPt | 1.4% | 10% |
| Chess Puzzles | 5% | 21% |
| Surface Evolver Bench | 30.6% | 48.8% |
| Epoch Capabilities Index | 142.74 | 149.97 |
| SimpleBench | — | 57.9% |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| Thematic Generalization | 53% | — |
| LMArena Hard Prompts | 1448 | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
Math Kimi K2.7 Code leads
Gemma 4 31B IT: 43.2 (#81), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| LMArena Math | 1465 | — |
Knowledge Kimi K2.7 Code leads
Gemma 4 31B IT: 37.9 (#151), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 75.8% | 87.9% |
| SimpleQA Verified | 10.4% | 36.5% |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1465 | — |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), Kimi K2.7 Code: —
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
Multilingual Not comparable
Gemma 4 31B IT: 53.8 (#57), Kimi K2.7 Code: —
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1431 | — |
| LMArena Chinese | 1476 | — |
| LMArena French | 1435 | — |
| LMArena Russian | 1460 | — |
| LMArena Spanish | 1444 | — |
Instruction Following Not comparable
Gemma 4 31B IT: 75.5 (#61), Kimi K2.7 Code: —
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1433 | — |
Long Context Not comparable
Gemma 4 31B IT: 44.2 (#71), Kimi K2.7 Code: —
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1446 | — |
Writing & Preference Not comparable
Gemma 4 31B IT: 60.5 (#96), Kimi K2.7 Code: —
| Benchmark | Gemma 4 31B IT | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1443 | — |
| LMArena Creative Writing | 1415 | — |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
| LMArena Multi-Turn | 1452 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Kimi K2.7 Code?
Gemma 4 31B IT and Kimi K2.7 Code score almost the same on the Noometry Index (43.5 vs 43.3), so choose on price, context window or the category you care about most.
Which is cheaper, Gemma 4 31B IT or Kimi K2.7 Code?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Gemma 4 31B IT or Kimi K2.7 Code better for coding?
They score almost the same on coding (42.3 vs 42.9); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Gemma 4 31B IT and Kimi K2.7 Code share?
11 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Kimi K2.7 Code has 19.