DeepSeek V4 Pro vs Inkling
At a Glance
| Compare |  DeepSeek V4 ProDeepSeek | InklingThinking Machines Lab |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2 | #34 of 4645.4 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #10 of 44$0.054 per LiveBench case | #18 of 44$0.090 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9 | #28 of 3848.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.66DeepSeek ↗ · Sep 2, 2026 | $0.95Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $1.5441Openrouter ↗ · Aug 28, 2026 | $4.05Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Inkling |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -0.71100% of row best · score · DeepSeek V4 Pro; 95% CI [-1.64679871, 0.21730076]; sessions 35465; observations 1910125; rank 30 | -10.0291% of row best · score · Inkling; 95% CI [-10.93664189, -9.10513108]; sessions 42313; observations 1624204; rank 42 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,450.63100% of row best · rating · deepseek-v4-pro; 95% CI [1446.64622706, 1454.61308427]; votes 54130; rank 43 | 1,439.6899% of row best · rating · inkling; 95% CI [1434.76600975, 1444.58550789]; votes 25922; rank 67 |
| LiveBench2026-06-25 · overall · leader | 76.79100% of row best · percent · deepseek-v4-pro · 35,014 output tokens / case | 76.47100% of row best · percent · inkling-xhigh · 22,213 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 79.25100% of row best · points · DeepSeek V4 Pro (xhigh) · 9,652 output tokens / case | 79.41100% of row best · points · Inkling · 5,785 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Inkling |
|---|---|---|
| Developer | DeepSeek | Thinking Machines Lab |
| Family | Deepseek V4 Pro | Inkling |
| Model | DeepSeek-V4-Pro | Inkling |
| Version | DeepSeek-V4-Pro | Inkling |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2026-07-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | 1.6T | 975B |
| Active parameters | 49B | 41B |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, coding, generation, reasoning, tools, vision |
DeepSeek V4 Pro Capabilities
Inkling Capabilities
Related Comparisons
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|---|---|---|---|
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DeepSeek-V4-ProDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
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Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Inkling FAQs
Is DeepSeek V4 Pro or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Inkling?+
DeepSeek V4 Pro is $0.66 and Inkling is $0.95 per million tokens, so DeepSeek V4 Pro is cheaper on this metric. DeepSeek V4 Pro is $1.5441 and Inkling is $4.05 per million tokens, so DeepSeek V4 Pro is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro or Inkling?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Pro is 1,049K and Inkling is 1,049K.
Which performs better in benchmarks, DeepSeek V4 Pro or Inkling?+
DeepSeek V4 Pro leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can DeepSeek V4 Pro or Inkling be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Inkling is open weight.
Can DeepSeek V4 Pro and Inkling understand images?+
DeepSeek V4 Pro is not documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Inkling?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Inkling is —.
Do DeepSeek V4 Pro and Inkling support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Inkling: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Inkling?+
DeepSeek V4 Pro has 6 sourced provider routes; Inkling has 4, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Inkling?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.