Model comparison
Gemini 3.5 Flash vs Kimi K3
Head-to-head evidence from 25 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.5 Flash #33 (Estimated); Kimi K3 #4 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.5 Flash and Kimi K3 share 25 comparable benchmark results. 3 of 8 categories are comparable. 21 results are unique to Gemini 3.5 Flash; 32 to Kimi K3.
Updated July 23, 2026- Shared results
- 25
- Gemini 3.5 Flash only
- 21
- Kimi K3 only
- 32
- Comparable categories
- 3 / 8
Pick Kimi K3 if you want the stronger benchmark profile. Gemini 3.5 Flash only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 25 shared benchmark results across 5 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 K3 is clearly ahead on the BenchAlign aggregate, 80.96 to 64.75. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K3's sharpest advantage is in knowledge, where it averages 61 against 47.2. The single biggest benchmark swing on the page is HLE, 40.2% to 56%. Gemini 3.5 Flash does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Kimi K3 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.50 input / $9.00 output per 1M tokens for Gemini 3.5 Flash. Kimi K3 gives you the larger context window at 1.05M, compared with 1M for Gemini 3.5 Flash.
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 | Gemini 3.5 Flash | Δ | Kimi K3 |
|---|---|---|---|
| Knowledge | Gemini 3.5 Flash47.2 | Margin→ 13.8 | Kimi K361.0 |
| Agentic | Gemini 3.5 Flash77.2 | Margin→ 12.3 | Kimi K389.5 |
| Multimodal | Gemini 3.5 Flash83.8 | Margin← 5.3 | Kimi K378.5 |
| Coding | Gemini 3.5 Flash53.9 | MarginNo overlap | Kimi K3Not measured |
| Reasoning | Gemini 3.5 Flash74.7 | MarginNo overlap | Kimi K3Not measured |
| Math | Gemini 3.5 Flash32.9 | MarginNo overlap | Kimi K3Not measured |
| Inst. Following | Gemini 3.5 Flash76.3 | MarginNo overlap | Kimi K3Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 40.2%B 56%Winner: Kimi K3Δ 15.8HLE: Gemini 3.5 Flash scored 40.2%; Kimi K3 scored 56%. Kimi K3 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 76.2%B 88.3%Winner: Kimi K3Δ 12.1Terminal-Bench 2.0: Gemini 3.5 Flash scored 76.2%; Kimi K3 scored 88.3%. Kimi K3 wins this benchmark. - Source ↗
CharXiv
MultimodalA 84.2%B 91.3%Winner: Kimi K3Δ 7.1CharXiv: Gemini 3.5 Flash scored 84.2%; Kimi K3 scored 91.3%. Kimi K3 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 83.6%B 81.6%Winner: Gemini 3.5 FlashΔ 2MMMU-Pro: Gemini 3.5 Flash scored 83.6%; Kimi K3 scored 81.6%. Gemini 3.5 Flash wins this benchmark. - Source ↗
GPQA
KnowledgeA 92.2%B 93.5%Winner: Kimi K3Δ 1.3GPQA: Gemini 3.5 Flash scored 92.2%; Kimi K3 scored 93.5%. Kimi K3 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.5 Flash | Kimi K3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.5 Flash$1.5 input / $9 output | Kimi K3$3 input / $15 output | Gemini 3.5 Flash has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.5 Flash284.2 tok/s | Kimi K3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.5 Flash18.55 s | Kimi K3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.5 Flash1M | Kimi K31.05M | Kimi K3 lists the larger context window. |
Benchmark Deep Dive
AgenticKimi K3 wins28 benchmarks
| Benchmark | Gemini 3.5 Flash | Kimi K3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 76.2% | 88.3% | Kimi K3 leads |
| MCP AtlasSource | 83.6% | 84.2% | Kimi K3 leads |
| ToolathlonSource | 56.5% | — | Not comparable |
| OSWorld-VerifiedSource | 78.4% | — | Not comparable |
| Finance Agent v2Source | 57.9% | — | Not comparable |
| GDPval-AASource | 1349 | 1679 | Kimi K3 leads |
| τ²-bench resultsSource | 95.3% | — | Not comparable |
| GDPval-AASource | 42.4% | 59.0% | Kimi K3 leads |
| AA Agentic IndexSource | 37.5% | 50.1% | Kimi K3 leads |
| APEX-Agents-AASource | 47.1% | 41.3% | Gemini 3.5 Flash leads |
| Gert LabsSource | 61.85% | — | Not comparable |
| ResearchClawBenchSource | 18.0% | — | Not comparable |
| AA AutomationBenchSource | 42.6% | 52.7% | Kimi K3 leads |
| AA EnterpriseOps-GymSource | 50.1% | 45.3% | Gemini 3.5 Flash leads |
| terminalBenchHardSource | 40.9% | — | Not comparable |
| BrowseCompSource | — | 91.2% | Not comparable |
| DeepSearchQASource | — | 95.0% | Not comparable |
| Toolathlon-VerifiedSource | — | 73.2% | Not comparable |
| AutomationBenchSource | — | 30.8% | Not comparable |
| JobBenchSource | — | 52.9% | Not comparable |
| APEX-AgentsSource | — | 37.6% | Not comparable |
| SpreadsheetBench 2Source | — | 34.8% | Not comparable |
| DECK-BenchSource | — | 73.5% | Not comparable |
| AA BriefcaseSource | — | 1543 | Not comparable |
| AA Harvey LABSource | — | 94.6% | Not comparable |
| AA Tau3 BankingSource | — | 33.4% | Not comparable |
| aaTerminalBench21Source | — | 85% | Not comparable |
| AA ITBenchSource | — | 47.7% | Not comparable |
Coding15 benchmarks
| Benchmark | Gemini 3.5 Flash | Kimi K3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 76.2% | — | Not comparable |
| SWE-bench ProSource | 55.1% | — | Not comparable |
| SciCodeSource | 53.1% | — | Not comparable |
| Vibe Code BenchSource | 48.68% | — | Not comparable |
| cursorBench31Source | 49.8% | — | Not comparable |
| cursorBench32Source | 48.8% | — | Not comparable |
| AA Coding IndexSource | 70.1% | 76.2% | Kimi K3 leads |
| AA-SciCodeSource | 53.1% | 58.7% | Kimi K3 leads |
| deepSweSource | — | 67.5% | Not comparable |
| FrontierSWESource | — | 81.2% | Not comparable |
| ProgramBenchSource | — | 77.8% | Not comparable |
| Kimi Code Bench v2Source | — | 72.9% | Not comparable |
| sweMarathonSource | — | 42% | Not comparable |
| PostTrain BenchSource | — | 36.6% | Not comparable |
| MLS-Bench LiteSource | — | 48.3% | Not comparable |
Reasoning5 benchmarks
KnowledgeKimi K3 wins10 benchmarks
| Benchmark | Gemini 3.5 Flash | Kimi K3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.2% | 57.1% | Kimi K3 leads |
| GPQASource | 92.2% | 93.5% | Kimi K3 leads |
| GPQA-DSource | 92.7% | 93.5% | Kimi K3 leads |
| HLESource | 40.2% | 56% | Kimi K3 leads |
| AA-Omniscience AccuracySource | 51.9% | 46.0% | Gemini 3.5 Flash leads |
| AA-Omniscience Hallucination RateSource | 60.7% | 50.9% | Kimi K3 leads |
| AA-GPQA DiamondSource | 92.2% | 93.5% | Kimi K3 leads |
| AA-HLESource | 41.0% | 44.3% | Kimi K3 leads |
| AA-Omniscience IndexSource | 22.7% | 18.4% | Gemini 3.5 Flash leads |
| HLE w/o toolsSource | — | 43.5% | Not comparable |
Math2 benchmarks
MultimodalGemini 3.5 Flash wins16 benchmarks
| Benchmark | Gemini 3.5 Flash | Kimi K3 | Result |
|---|---|---|---|
| CharXivSource | 84.2% | 91.3% | Kimi K3 leads |
| MMMU-ProSource | 83.6% | 81.6% | Gemini 3.5 Flash leads |
| Blueprint-Bench 2Source | 33.6% | — | Not comparable |
| AA-MMMU-ProSource | 84.3% | 80.5% | Gemini 3.5 Flash leads |
| Design Arena WebsiteSource | 1285 | 1386 | Kimi K3 leads |
| OfficeQA ProSource | — | 63.3% | Not comparable |
| MMMU-Pro w/ PythonSource | — | 83.4% | Not comparable |
| CharXiv w/o toolsSource | — | 84.8% | Not comparable |
| MathVisionSource | — | 94.3% | Not comparable |
| MathVision w/ PythonSource | — | 97.8% | Not comparable |
| BabyVision w/ PythonSource | — | 85.7% | Not comparable |
| ZeroBenchSource | — | 23.0% | Not comparable |
| ZeroBench w/ PythonSource | — | 41.0% | Not comparable |
| WorldVQA ForceAnswerSource | — | 51.0% | Not comparable |
| OmniDocBenchSource | — | 91.1% | Not comparable |
| PerceptionBenchSource | — | 58.5% | Not comparable |
Frequently Asked Questions (4)
Which is better, Gemini 3.5 Flash or Kimi K3?
Kimi K3 is ahead on BenchLM's BenchAlign leaderboard, 80.96 to 64.75. The biggest single separator in this matchup is HLE, where the scores are 40.2% and 56%.
Which is better for knowledge tasks, Gemini 3.5 Flash or Kimi K3?
Kimi K3 has the edge for knowledge tasks in this comparison, averaging 61 versus 47.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Gemini 3.5 Flash or Kimi K3?
Kimi K3 has the edge for agentic tasks in this comparison, averaging 89.5 versus 77.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Gemini 3.5 Flash or Kimi K3?
Gemini 3.5 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 83.8 versus 78.5. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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