Compare / head-to-head
DeepSeek V3.2vsKimi K2.6
Kimi K2.6 leads 3 of 3 shared benchmarks. Kimi K2.6 has the larger context window (256K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 3
Kimi K2.6 leads
Cheaper per token
—
list price, input + output
Larger context
Kimi K2.6
256K tokens
Provider uptime (30d)
100% · 100%
DeepSeek · Moonshot AI
DeepSeek V3.2
DeepSeek · released 2025-12-01
text
- Context
- 131K
- Max out
- 66K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 8 · 7 core
Kimi K2.6
Moonshot AI · released 2026-04-20
textvision
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 14 · 8 core
Quality
Benchmark matrix
3 shared · 4 only DeepSeek V3.2 · 11 only Kimi K2.6| Benchmark | DeepSeek V3.2 | Kimi K2.6 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| GPQA Diamond | 82.4% ↗ | 90.8% ↗epoch | -8.4 pt | Kimi K2.6 |
| AIME 2026 | 94.2% ↗matharena | 95.8% ↗matharena ⚠ | -1.6 pt | Kimi K2.6 |
| LMArena Elo | 1424.8 ↗ | 1454.9 ↗ | -30.1 | Kimi K2.6 |
| Only DeepSeek V3.2 reports · 4 | ||||
| SWE-bench Verified | 73.1% ↗ | not reported | — | — |
| MMLU-Pro | 85% ↗ | not reported | — | — |
| AIME 2025 | 93.1% ↗ | not reported | — | — |
| Humanity's Last Exam (no tools) | 25.1% ↗ | not reported | — | — |
| Only Kimi K2.6 reports · 11 | ||||
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 25.6% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 57.2% ↗epoch | — | — |
| Kimi Claw 24/7 Bench | not reported | 42.9% ↗ | — | — |
| Kimi Code Bench v2 | not reported | 50.9% ↗ | — | — |
| MCP-Atlas | not reported | 69.4% ↗ | — | — |
| MCPMark-Verified | not reported | 72.8% ↗ | — | — |
| MLS-Bench-Lite | not reported | 26.7% ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 96.1% ↗epoch | — | — |
| ProgramBench | not reported | 48.3% ↗ | — | — |
| SimpleQA Verified | not reported | 34.9% ↗epoch | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 76.7% ↗epoch | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is DeepSeek V3.2 minus Kimi K2.6 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | DeepSeek V3.2 | Kimi K2.6 | Edge |
|---|---|---|---|
| Context window | 131K tokens | 256K tokens | Kimi K2.6 |
| Max output | 66K tokens | — | — |
| Input price / 1M | — | — | — |
| Output price / 1M | — | — | — |
| Cached input / 1M | — | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | — | — |
| Modalities | text | text · vision | Kimi K2.6 |
| Released | 2025-12-01 | 2026-04-20 | — |
| Cited benchmark scores | 8 | 14 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
DeepSeek V3.2 vs …
Models sharing the most benchmarksMore matchups
Kimi K2.6 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run DeepSeek V3.2 and Kimi K2.6 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.