Model comparison
DeepSeek V4 Flash vs Kimi K2
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash #61 (Estimated); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash and Kimi K2 share 1 comparable benchmark result. 1 of 8 categories are comparable. 21 results are unique to DeepSeek V4 Flash; 13 to Kimi K2.
Updated July 23, 2026- Shared results
- 1
- DeepSeek V4 Flash only
- 21
- Kimi K2 only
- 13
- Comparable categories
- 1 / 8
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Flash is clearly ahead on the BenchAlign aggregate, 58.88 to 27.19. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Flash's sharpest advantage is in mathematics, where it averages 40.8 against 16.1.
Kimi K2 is also the more expensive model on tokens at $0.60 input / $2.50 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 8.9x on output cost alone. DeepSeek V4 Flash gives you 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 | DeepSeek V4 Flash | Δ | Kimi K2 |
|---|---|---|---|
| Math | DeepSeek V4 Flash40.8 | Margin← 24.7 | Kimi K216.1 |
| Agentic | DeepSeek V4 Flash49.1 | MarginNo overlap | Kimi K2Not measured |
| Coding | DeepSeek V4 Flash64.2 | MarginNo overlap | Kimi K2Not measured |
| Knowledge | DeepSeek V4 Flash38.8 | MarginNo overlap | Kimi K2Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash | Kimi K2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash$0.14 input / $0.28 output | Kimi K2$0.6 input / $2.5 output | DeepSeek V4 Flash has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 FlashNot available | Kimi K243 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 FlashNot available | Kimi K21.51 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash1M | Kimi K2128K | DeepSeek V4 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | DeepSeek V4 Flash | Kimi K2 | Result |
|---|---|---|---|
| MMLU-ProSource | 83% | — | Not comparable |
| SimpleQASource | 23.1% | — | Not comparable |
| Chinese-SimpleQASource | 71.5% | — | Not comparable |
| GPQASource | 71.2% | — | Not comparable |
| GPQA-DSource | 71.2% | — | Not comparable |
| HLESource | 8.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 19.4% | Not comparable |
| AA-GPQA DiamondSource | — | 76.6% | Not comparable |
| AA-HLESource | — | 7.0% | Not comparable |
| AA-Omniscience IndexSource | — | -27.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 26.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 74.2% | Not comparable |
MathDeepSeek V4 Flash wins6 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Flash | Kimi K2 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1238 | 1080 | DeepSeek V4 Flash leads |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Flash | Kimi K2 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 41.5% | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Flash or Kimi K2?
DeepSeek V4 Flash is ahead on BenchLM's BenchAlign leaderboard, 58.88 to 27.19.
Which is better for math, DeepSeek V4 Flash or Kimi K2?
DeepSeek V4 Flash has the edge for math in this comparison, averaging 40.8 versus 16.1. Kimi K2 stays close enough that the answer can still flip depending on your workload.
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