PickAIModel.com - Compare DeepSeek V4 Pro (Max) and Kimi K2.6
DeepSeek V4 Pro (Max) vs Kimi K2.6: pricing, Quality, Value, and benchmarks
Side-by-side buyer comparison built from the current published top 10 snapshot. Quality and Value stay deterministic, while editorial verdict excerpts remain clearly AI-labeled.
Verified evidenceVerified evidence
DeepSeek V4 Pro (Max) Quality
79.1
Kimi K2.6 Quality
77.7
Quality delta
+1.4DeepSeek V4 Pro (Max) leads
Value delta
+4.3DeepSeek V4 Pro (Max) leads
Buyer summary
DeepSeek V4 Pro (Max) leads Quality by 1.4 points. DeepSeek V4 Pro (Max) leads Value by 4.3 points.
Snapshot freshness
Snapshot May 5, 2026. Both pages link back to the same published roster and methodology, so the comparison stays on one deterministic evidence set.
The strongest open-source coding model in the current roster, best for teams that want frontier-level development work at far lower API cost.
Monthly price
Kimi Membership: $0.16/month
App access
Kimi
Conversation benchmark
~19 chats
Verified vendor fact
Consumer plan pricing is grounded in the current official vendor plan page.
Verified vendor fact
Hosted app availability is grounded in the current official vendor surface.
Deterministic scores
Quality and Value comparison
DeepSeek V4 Pro (Max)
Q 79.1
V 70.1
Quality rank 4 and value rank 1 in the current published roster.
Kimi K2.6
Q 77.7
V 65.8
Quality rank 5 and value rank 3 in the current published roster.
Buyer access
Pricing, app access, and Conversation Value
DeepSeek V4 Pro (Max)
Verified vendor fact3K tokens/chat
DeepSeek API: pay as you go
Free tier
Hosted app: DeepSeek
Kimi K2.6
Verified vendor fact3K tokens/chat
Kimi Membership: $0.16/month
~19 chats
Hosted app: Kimi
Benchmark evidence
DeepSeek V4 Pro (Max)
Verified May 5, 2026
Humanity's Last Exam
Pass@1
37.7%
NVIDIA DeepSeek V4 Pro model card | NVIDIA-hosted model card row for DeepSeek V4 Pro Max; use as sourced provisional benchmark evidence.
GPQA Diamond
Pass@1
90.1%
NVIDIA DeepSeek V4 Pro model card | NVIDIA-hosted model card row for DeepSeek V4 Pro Max; use as sourced provisional benchmark evidence.
SWE-Bench Pro
Software engineering task resolution
55.4%
BenchLM AI coding leaderboard | BenchLM May 1, 2026 coding leaderboard row for DeepSeek V4 Pro (Max).
MRCR v2
1M long-context
83.5%
NVIDIA DeepSeek V4 Pro model card | NVIDIA-hosted model card row for DeepSeek V4 Pro Max.
Benchmark evidence
Kimi K2.6
Verified Apr 24, 2026
Humanity's Last Exam
Normalized quality input
35.9%
Artificial Analysis - Humanity's Last Exam evaluation | Third-party benchmark evaluation page used only after the official HLE leaderboard sources fail to yield a usable result.
SWE-Bench Pro
Software engineering task resolution
58.6%
Moonshot AI Kimi K2.6 model-card eval results | Moonshot AI Kimi K2.6 model-card eval result file. Result is vendor-published and should display with source provenance.
Terminal-Bench 2.0
Agentic terminal task completion
66.7%
Moonshot AI Kimi K2.6 model-card eval results | Moonshot AI Kimi K2.6 model-card eval result file for harborframework/terminal-bench-2.0. Result is vendor-published and should display with source provenance.
Editorial excerpt
DeepSeek V4 Pro (Max)
AI-assisted, editorially reviewed
DeepSeek V4 Pro (Max) is published here because it has sourced SWE-Bench Pro evidence and a sourced DeepSeek V4 Pro model record.
DeepSeek V4 Pro (Max) is included in the coding leaderboard because current public sources attach it to SWE-Bench Pro, LiveCodeBench, and related coding-agent benchmarks. Treat the row as benchmark evidence first; regulated and sensitive deployments should review DeepSeek policy, hosting, and data controls before use.
Editorial excerpt
Kimi K2.6
AI-assisted, editorially reviewed
The strongest open-source coding model in the current roster, best for teams that want frontier-level development work at far lower API cost.
Released April 20, 2026, Kimi K2.6 is an open-source Moonshot AI model built for coding and autonomous task execution rather than general-purpose chat. Its best fit is teams that want near-flagship coding performance without flagship pricing. At $0.95 per million uncached input tokens and $4.00 per million output tokens, with cheaper cached input available, it gives cost-sensitive engineering teams a serious alternative to proprietary coding models. The tradeoff is polish: creative writing trails Claude and ChatGPT, English and Chinese are stronger than other languages, and response speed is slow compared with the fastest frontier options. It is also operated by a Chinese company under local data regulations, so government, defense, and heavily regulated teams should review compliance before sending sensitive work. Bottom line: Kimi K2.6 is a compelling Claude or GPT alternative for development work when cost efficiency matters more than raw polish.
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