DeepSeek V4.1 Flash 1017 vs Kimi K3.1 Pro
Full profiles: DeepSeek V4.1 Flash 1017 (DeepSeek) and Kimi K3.1 Pro (Moonshot AI): every benchmark, price and rank.
Updated · Data from 8 sources
As of 24 Oct 2026, DeepSeek V4.1 Flash 1017 (max) and Kimi K3.1 Pro are neck and neck on quality (64.0 vs 66.8 on the BenchLeader Index, inside the ±7.3 margin of error), and DeepSeek V4.1 Flash 1017 (max) costs 7.6× less, which makes it the better buy for most workloads. Kimi K3.1 Pro leads in every category we measure both in.
DeepSeek V4.1 Flash 1017 benchmarks max DeepSeek
Kimi K3.1 Pro benchmarks Moonshot AIOpen in the comparison toolWhich to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Agents & tool use | Kimi K3.1 Pro | 67 vs 63 category score; DeepSec-Bench (AA) 36.7% vs 24.9% | Medium |
| Reasoning | Kimi K3.1 Pro | 81 vs 71 category score; CritPt 24.6% vs 24.0% | High |
| Knowledge | Kimi K3.1 Pro | 75 vs 57 category score; AA-Omniscience 29.5 vs 4.7 | High |
| Long documents | Kimi K3.1 Pro | 68 vs 66 category score; AA-LCR 86.3% vs 82.7% | Medium |
| Images and other media | Kimi K3.1 Pro | 67 vs 64 category score; MMMU-Pro 83.9% vs 80.6% | Medium |
| Lowest cost | DeepSeek V4.1 Flash 1017 | $0.525 vs $4.00 per 1M blended; agentic coding session $0.023 vs $0.160 | – |
| Fastest first answer | DeepSeek V4.1 Flash 1017 | 11.2 s (DeepSeek V4.1 Flash 1017 (max)) vs 27.7 s (Kimi K3.1 Pro) to the first answer token | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- DeepSeek V4.1 Flash 1017 (max) and Kimi K3.1 Pro are neck and neck on quality (64.0 vs 66.8, within the ±7.3 margin).
- DeepSeek V4.1 Flash 1017 (max) is stronger in coding, composite, maths.
- Kimi K3.1 Pro is stronger in agents & tools, knowledge, long context, multimodal, reasoning.
- DeepSeek V4.1 Flash 1017 (max) is 7.6× cheaper ($0.525 vs $4.00 per 1M blended).
- DeepSeek V4.1 Flash 1017 (max) streams 2.5× faster (198 vs 81 tokens per second).
At a glance
| Spec | DeepSeek V4.1 Flash 1017 | Kimi K3.1 Pro |
|---|---|---|
| Developer | DeepSeek | Moonshot AI |
| Released | 17 Oct 2026 | 23 Oct 2026 |
| Context window (tokens) | 1,048,576 | 1,048,576 |
| Compared at | DeepSeek V4.1 Flash 1017 (max) | Kimi K3.1 Pro |
| Open weights | Yes | No |
| Price in / out / cached input per 1M | $0.300 / $1.20 / $0.0060 | $2.00 / $10.00 / $0.200 |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | DeepSeek V4.1 Flash 1017 (max) | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Reasoning | 70.6 | 81.3 | Kimi K3.1 Pro |
| Coding | 70.1 | – | not comparable |
| Agents & tools | 63.0 | 67.3 | Kimi K3.1 Pro |
| Maths | 61.8 | – | not comparable |
| Knowledge | 57.1 | 74.8 | Kimi K3.1 Pro |
| Multimodal | 63.7 | 67.0 | Kimi K3.1 Pro |
| Long context | 66.4 | 68.3 | Kimi K3.1 Pro |
| Composite | 80.0 | 75.8 | DeepSeek V4.1 Flash 1017 |
Where sources disagree
Across the 18 benchmarks both have, DeepSeek V4.1 Flash 1017 leads 1, Kimi K3.1 Pro leads 17. Every overall index that rates both puts Kimi K3.1 Pro ahead.
| Overall index | DeepSeek V4.1 Flash 1017 (max) | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| BenchLeader Index | 64.0 | 66.8 | neck and neck |
| AA Intelligence Index v4.3.2 | 45.1 | 55.1 | Kimi K3.1 Pro |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | DeepSeek V4.1 Flash 1017 (max) | Kimi K3.1 Pro |
|---|---|---|
| Blended price per 1M tokens | $0.525 | $4.00 |
| Input / output per 1M | $0.300 / $1.20 | $2.00 / $10.00 |
| Cached input per 1M | $0.0060 | $0.200 |
| Price per task: chat reply | $0.0005 | $0.0038 |
| Price per task: summarize a 30-page report | $0.0043 | $0.030 |
| Price per task: code edit | $0.0036 | $0.027 |
| Price per task: agentic coding session | $0.023 | $0.160 |
| Price per task: structured extraction | $0.0008 | $0.0060 |
| Cost to run a full benchmark suite | $0.262 | $2.11 |
| Output speed | 198 tok/s | 81 tok/s |
| Time to first answer | 11.2 s | 27.7 s |
| Time to a complete answer | 13.7 s | 33.9 s |
Per token is not per task: on Artificial Analysis' full suite DeepSeek V4.1 Flash 1017 (max) cost $0.262 and Kimi K3.1 Pro $2.11, because Kimi K3.1 Pro used about 1.1× as many tokens for the same work.
Each model is compared at its best-ranked reasoning-effort setting. DeepSeek V4.1 Flash 1017 (max) scores 64.0 and takes 11 s to its first answer token. Kimi K3.1 Pro scores 66.8 and takes 28 s to its first answer token. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
55 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | DeepSeek V4.1 Flash 1017 (max) | Kimi K3.1 Pro |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 64.0 | 66.8 |
| Agents & tools score | BenchLeader | 63.0 | 67.3 |
| Coding score | BenchLeader | 70.1 | – |
| Composite score | BenchLeader | 80.0 | 75.8 |
| Knowledge score | BenchLeader | 57.1 | 74.8 |
| Long context score | BenchLeader | 66.4 | 68.3 |
| Maths score | BenchLeader | 61.8 | – |
| Multimodal score | BenchLeader | 63.7 | 67.0 |
| Reasoning score | BenchLeader | 70.6 | 81.3 |
| Blended price $/M | BenchLeader | $0.525 | $4.00 |
| Output speed | BenchLeader | 198 tok/s | 81 tok/s |
| Time to first answer | BenchLeader | 11.2 s | 27.7 s |
| Context window | BenchLeader | 1,048,576 tokens | 1,048,576 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 93.2% | – |
| LiveBench 2.0 Reasoning | LiveBench | 89.1%† | 91.1% |
| Humanity's Last Exam (AA) | Artificial Analysis | 43.3% | 52.5% |
| ARC-AGI-1 | ARC Prize | 93.5% | – |
| ARC-AGI-2 | ARC Prize | 78.1% | – |
| CritPt | Artificial Analysis | 24.0% | 24.6% |
| Chess Puzzles | Epoch AI Benchmarking Hub | 46.0% | – |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 49.0% | – |
| Coding | |||
| Arena WebDev | Arena (LMArena) | 1664 | – |
| LiveBench 2.0 Coding | LiveBench | 96.0%† | 81.8% |
| SciCode (AA) | Artificial Analysis | 55.9% | 60.8% |
| Code Migration | Vals AI | 44.2% | – |
| Code Migration v1.1 | Vals AI | 67.5% | – |
| Vibe Code Bench v1.1 | Vals AI | 87.7% | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 33.8% | 67.2% |
| FrontierCode 1.1 (AA) | Artificial Analysis | 43.7% | 47.1% |
| Agents & tools | |||
| LiveBench Long Agentic | LiveBench | 50.9%† | 49.5% |
| LiveBench Browser | LiveBench | 76.0%† | 80.0% |
| GDPval-AA v2.1 | Artificial Analysis | 62.3% | 67.3% |
| Finance Agent v2 | Vals AI | 57.0% | – |
| Finance Agent v2.1 | Vals AI | 62.9% | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 14.2% | – |
| Harvey's Legal Agent Benchmark v1 | Vals AI | 9.2% | – |
| Legal Research Bench | Vals AI | 45.2% | – |
| Tax Agent Bench | Vals AI | 44.4% | – |
Show all 55 benchmarks
| Metric | Publisher | DeepSeek V4.1 Flash 1017 (max) | Kimi K3.1 Pro |
|---|---|---|---|
| Agents & tools | |||
| Terminal-Bench 4.0 (Vals) | Vals AI | 31.8% | – |
| AutomationBench | Artificial Analysis | 66.6% | 73.3% |
| GDP.pdf (AA) | Artificial Analysis | 17.2% | 31.4% |
| AA-Briefcase v1.1 | Artificial Analysis | 1570 | 1678 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 12.9% | – |
| CWE-Bench (AA) | Artificial Analysis | 69.2% | 60.8% |
| DeepSec-Bench (AA) | Artificial Analysis | 24.9% | 36.7% |
| CyberGym end-to-end (AA) | Artificial Analysis | 76.3% | 94.7% |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 71.2% | – |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 46.3% | – |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 99.4% | – |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 42.5% | – |
| LiveBench 2.0 Data Analysis | LiveBench | 79.5%† | 79.1% |
| LiveBench Research | LiveBench | 79.5%† | 77.9% |
| AA-Omniscience | Artificial Analysis | 4.7 | 29.5 |
| Excel Modeling Benchmark | Vals AI | 61.8% | – |
| Excel Modeling Benchmark v1.1 | Vals AI | 69.2% | – |
| AA-Omniscience: accuracy | Artificial Analysis | 42.9% | 51.0% |
| AA-Omniscience: non-hallucination | Artificial Analysis | 33.3% | 56.1% |
| Multimodal | |||
| LiveBench Design | LiveBench | 83.4%† | 77.8% |
| MMMU-Pro | Artificial Analysis | 80.6% | 83.9% |
| Long context | |||
| AA-LCR | Artificial Analysis | 82.7% | 86.3% |
| MLCR | Artificial Analysis | 26.7% | – |
| Composite | |||
| LiveBench 2.0 | LiveBench | 79.2%† | 76.7% |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 45.1 | 55.1 |
| Vals Index | Vals AI | 61.3 | – |
| Vals Finance Index | Vals AI | 60.9% | – |
| Vals Router Index | Vals AI | 61.3%† | – |
| AA Cyber Index | Artificial Analysis | 56.8 | 64.1 |
| Metadata | |||
| AA Openness Index | Artificial Analysis | 44.4 | – |
Data as of 2026-10-24. Best configuration of each model; every score links to its source on the model pages.
What changed
- Kimi K3.1 Pro: BenchLeader Index 65.6 → 66.8.
- Kimi K3.1 Pro: 5 new results (FrontierCode 1.1 (AA), AA Cyber Index, CWE-Bench (AA)…).
- DeepSeek V4.1 Flash 1017 (max): 10 new results (MLCR, AA Cyber Index, CWE-Bench (AA)…).
- Kimi K3.1 Pro: first results.
- DeepSeek V4.1 Flash 1017 (max): BenchLeader Index 63.1 → 63.9.
- DeepSeek V4.1 Flash 1017 (max): 11 new results (GPQA Diamond, FrontierMath Tiers 1–3, FrontierMath Tier 4…).
- DeepSeek V4.1 Flash 1017 (max): 1 new result (FrontierCode 1.1 (AA)); 2 score revisions.
Related comparisons
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- Kimi K3.1 Pro vs Claude Opus 5.5
- Kimi K3.1 Pro vs Gemini 4 Argon
- Kimi K3.1 Pro vs Muse Wonder Full
- Kimi K3.1 Pro vs Claude Fable 5.1
- DeepSeek V4.1 Flash 1017 vs Kimi K3
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
DeepSeek V4.1 Flash 1017 vs Kimi K3.1 Pro: questions
- Is DeepSeek V4.1 Flash 1017 better than Kimi K3.1 Pro?
- DeepSeek V4.1 Flash 1017 (max) and Kimi K3.1 Pro are neck and neck on quality (64.0 vs 66.8, within the ±7.3 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-24, so check the category scores for your use.
- Which is cheaper, DeepSeek V4.1 Flash 1017 or Kimi K3.1 Pro, and will that change?
- DeepSeek V4.1 Flash 1017 is cheaper today: $0.525 against $4.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is DeepSeek V4.1 Flash 1017 better than Kimi K3.1 Pro for agents and tool use?
- Kimi K3.1 Pro scores higher in agentic tasks (67 vs 63 on the category index, where 50 is average). On CWE-Bench (AA), the top shared agents & tools benchmark, it is 69.2% for DeepSeek V4.1 Flash 1017 against 60.8% for Kimi K3.1 Pro.
- Which is better for long documents?
- Kimi K3.1 Pro scores higher on long-context benchmarks (68 vs 66). Both accept 1,048,576 tokens of context.
- Which has lower latency?
- DeepSeek V4.1 Flash 1017 (max) answers first: 11.2 s against 27.7 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Which is faster, DeepSeek V4.1 Flash 1017 or Kimi K3.1 Pro?
- DeepSeek V4.1 Flash 1017 streams faster: 198 against 81 output tokens per second.
- Do independent benchmarks agree on DeepSeek V4.1 Flash 1017 vs Kimi K3.1 Pro?
- Across the 18 benchmarks both have, DeepSeek V4.1 Flash 1017 leads 1, Kimi K3.1 Pro leads 17. Every overall index that rates both puts Kimi K3.1 Pro ahead.
- When was Kimi K3.1 Pro released?
- Kimi K3.1 Pro was released on 23 Oct 2026.