Model comparison
Gemini 3.1 Flash-Lite vs Kimi K2
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.1 Flash-Lite #111 (Supported); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Flash-Lite and Kimi K2 share 11 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to Gemini 3.1 Flash-Lite; 3 to Kimi K2.
Updated July 20, 2026- Shared results
- 11
- Gemini 3.1 Flash-Lite only
- 9
- Kimi K2 only
- 3
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.1 Flash-Lite and Kimi K2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Kimi K2 is priced at $0.60 input / $2.50 output per 1M tokens, versus $0.25 input / $1.50 output per 1M tokens for Gemini 3.1 Flash-Lite. Gemini 3.1 Flash-Lite has the larger context window at 1M, compared with 128K for Kimi K2.
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 3.1 Flash-Lite | Δ | Kimi K2 |
|---|---|---|---|
| Math | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | Kimi K216.1 |
| Multimodal | Gemini 3.1 Flash-Lite73.2 | MarginNo overlap | Kimi K2Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Flash-Lite | Kimi K2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Flash-Lite$0.25 input / $1.5 output | Kimi K2$0.6 input / $2.5 output | Gemini 3.1 Flash-Lite has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.1 Flash-Lite205 tok/s | Kimi K243 tok/s | Gemini 3.1 Flash-Lite has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 3.1 Flash-Lite7.50 s | Kimi K21.51 s | Kimi K2 reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 3.1 Flash-Lite1M | Kimi K2128K | Gemini 3.1 Flash-Lite lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | Kimi K2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 25.0% | 19.4% | Gemini 3.1 Flash-Lite leads |
| AA-GPQA DiamondSource | 82.2% | 76.6% | Gemini 3.1 Flash-Lite leads |
| AA-HLESource | 16.2% | 7.0% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience IndexSource | -15.5% | -27.5% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience AccuracySource | 36.4% | 26.8% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience Hallucination RateSource | 81.6% | 74.2% | Kimi K2 leads |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | Kimi K2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.2% | 41.5% | Gemini 3.1 Flash-Lite leads |
Frequently Asked Questions (3)
Can I compare Gemini 3.1 Flash-Lite and Kimi K2 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Gemini 3.1 Flash-Lite and Kimi K2 today?
Gemini 3.1 Flash-Lite: $0.25 input / $1.50 output per 1M tokens Kimi K2: $0.60 input / $2.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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