Model comparison
Gemma 4 12B vs Kimi K2.6
Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 12B #137 (Estimated); Kimi K2.6 #74 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 12B and Kimi K2.6 share 17 comparable benchmark results. 3 of 8 categories are comparable. 6 results are unique to Gemma 4 12B; 34 to Kimi K2.6.
Updated July 23, 2026- Shared results
- 17
- Gemma 4 12B only
- 6
- Kimi K2.6 only
- 34
- Comparable categories
- 3 / 8
Pick Kimi K2.6 if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 7 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Kimi K2.6 is clearly ahead on the BenchAlign aggregate, 56.79 to 47.29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6's sharpest advantage is in multimodal & grounded, where it averages 79.8 against 69.1. The single biggest benchmark swing on the page is AIME26, 77.5% to 96.4%. Gemma 4 12B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Gemma 4 12B | Δ | Kimi K2.6 |
|---|---|---|---|
| Knowledge | Gemma 4 12B77.5 | Margin← 35.3 | Kimi K2.642.2 |
| Multimodal | Gemma 4 12B69.1 | Margin→ 10.7 | Kimi K2.679.8 |
| Math | Gemma 4 12B77.5 | Margin← 10.4 | Kimi K2.667.1 |
| Agentic | Gemma 4 12BNot measured | MarginNo overlap | Kimi K2.673.5 |
| Coding | Gemma 4 12BNot measured | MarginNo overlap | Kimi K2.664.4 |
| Reasoning | Gemma 4 12B43.4 | MarginNo overlap | Kimi K2.6Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
AIME26
MathA 77.5%B 96.4%Winner: Kimi K2.6Δ 18.9AIME26: Gemma 4 12B scored 77.5%; Kimi K2.6 scored 96.4%. Kimi K2.6 wins this benchmark. - Source ↗
GPQA
KnowledgeA 78.8%B 90.5%Winner: Kimi K2.6Δ 11.7GPQA: Gemma 4 12B scored 78.8%; Kimi K2.6 scored 90.5%. Kimi K2.6 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 69.1%B 79.4%Winner: Kimi K2.6Δ 10.3MMMU-Pro: Gemma 4 12B scored 69.1%; Kimi K2.6 scored 79.4%. Kimi K2.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 12B | Kimi K2.6 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 12BNot available | Kimi K2.6$0.95 input / $4 output | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 12BNot available | Kimi K2.6Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 12BNot available | Kimi K2.6Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 12B256K | Kimi K2.6256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | Gemma 4 12B | Kimi K2.6 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.3% | 95.9% | Kimi K2.6 leads |
| Terminal-Bench 2.0Source | — | 66.7% | Not comparable |
| BrowseCompSource | — | 83.2% | Not comparable |
| OSWorld-VerifiedSource | — | 73.1% | Not comparable |
| ToolathlonSource | — | 50% | Not comparable |
| MCP AtlasSource | — | 55.9% | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| DeepSearchQASource | — | 92.5% | Not comparable |
| WideResearchSource | — | 80.8% | Not comparable |
| AA Agentic IndexSource | — | 30.3% | Not comparable |
| GDPval-AASource | — | 34.5% | Not comparable |
| GDPval-AASource | — | 1189 | Not comparable |
| APEX-Agents-AASource | — | 28.5% | Not comparable |
| Gert LabsSource | — | 56.82% | Not comparable |
| ResearchClawBenchSource | — | 18.0% | Not comparable |
| OSWorld 2.0Source | — | 4.6% | Not comparable |
| terminalBenchHardSource | — | 43.9% | Not comparable |
Coding10 benchmarks
| Benchmark | Gemma 4 12B | Kimi K2.6 | Result |
|---|---|---|---|
| AA-SciCodeSource | 38.2% | 53.5% | Kimi K2.6 leads |
| SWE-bench VerifiedSource | — | 80.2% | Not comparable |
| LiveCodeBench v6Source | — | 89.6% | Not comparable |
| SWE-bench ProSource | — | 58.6% | Not comparable |
| SWE MultilingualSource | — | 76.7% | Not comparable |
| SciCodeSource | — | 52.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 66.7% | Not comparable |
| Vibe Code BenchSource | — | 37.89% | Not comparable |
| cursorBench31Source | — | 47.6% | Not comparable |
| AA Coding IndexSource | — | 61.8% | Not comparable |
Reasoning4 benchmarks
KnowledgeGemma 4 12B wins12 benchmarks
| Benchmark | Gemma 4 12B | Kimi K2.6 | Result |
|---|---|---|---|
| GPQASource | 78.8% | 90.5% | Kimi K2.6 leads |
| GPQA-DSource | 78.8% | 90.5% | Kimi K2.6 leads |
| MMLU-ProSource | 77.2% | — | Not comparable |
| HLE w/o toolsSource | 5.2% | — | Not comparable |
| MMMLUSource | 83.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 22.0% | 44.2% | Kimi K2.6 leads |
| AA-GPQA DiamondSource | 75.3% | 91.1% | Kimi K2.6 leads |
| AA-HLESource | 14.8% | 35.9% | Kimi K2.6 leads |
| AA-Omniscience IndexSource | -51.9% | 6.4% | Kimi K2.6 leads |
| AA-Omniscience AccuracySource | 16.0% | 32.8% | Kimi K2.6 leads |
| AA-Omniscience Hallucination RateSource | 80.8% | 39.3% | Kimi K2.6 leads |
| HLESource | — | 34.7% | Not comparable |
MathGemma 4 12B wins5 benchmarks
MultimodalKimi K2.6 wins8 benchmarks
| Benchmark | Gemma 4 12B | Kimi K2.6 | Result |
|---|---|---|---|
| MMMU-ProSource | 69.1% | 79.4% | Kimi K2.6 leads |
| MathVisionSource | 79.7% | 87.4% | Kimi K2.6 leads |
| MedXpertQA (MM)Source | 48.7% | — | Not comparable |
| AA-MMMU-ProSource | 69.7% | 79.4% | Kimi K2.6 leads |
| MMMU-Pro w/ PythonSource | — | 80.1% | Not comparable |
| CharXivSource | — | 80.4% | Not comparable |
| V*Source | — | 96.9% | Not comparable |
| Design Arena WebsiteSource | — | 1306 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemma 4 12B | Kimi K2.6 | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.5% | 76.0% | Kimi K2.6 leads |
Frequently Asked Questions (4)
Which is better, Gemma 4 12B or Kimi K2.6?
Kimi K2.6 is ahead on BenchLM's BenchAlign leaderboard, 56.79 to 47.29. The biggest single separator in this matchup is AIME26, where the scores are 77.5% and 96.4%.
Which is better for knowledge tasks, Gemma 4 12B or Kimi K2.6?
Gemma 4 12B has the edge for knowledge tasks in this comparison, averaging 77.5 versus 42.2. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for math, Gemma 4 12B or Kimi K2.6?
Gemma 4 12B has the edge for math in this comparison, averaging 77.5 versus 67.1. Inside this category, AIME26 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Gemma 4 12B or Kimi K2.6?
Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 69.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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