DeepSeek V4 Pro 0813 vs Inkling

At a Glance

Compare
InklingThinking Machines Lab
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#20 of 4665.0 score · 3/3 sources · complete#34 of 4645.4 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#20 of 44$0.094 per LiveBench case#18 of 44$0.090 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#14 of 3857.4 score · 3/3 sources · complete#28 of 3848.1 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$1.30Deepinfra · Sep 21, 2026$0.95Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$2.60Deepinfra · Sep 21, 2026$4.05Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens1,049K1,049K
Model facts checkedSep 3, 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

All benchmark results →
BenchmarkDeepSeek-V4-Pro-0813Inkling
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader90.50100% of row best · percent · DeepSeek V4 Pro 0813 (Low)79.5088% of row best · percent · Inkling
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader61.25100% of row best · percent · DeepSeek V4 Pro 0813 (Max)36.5360% of row best · percent · Inkling
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader4.14100% of row best · score · DeepSeek V4 Pro (High) (0813); 95% CI [3.35150819, 4.93122185]; sessions 47602; observations 4132769; rank 16-10.0286% 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 · statistical tie1,443.95100% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 581,439.68100% of row best · rating · inkling; 95% CI [1434.76600975, 1444.58550789]; votes 25922; rank 67
LiveBench2026-06-25 · overall · leader81.91100% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case76.4793% of row best · percent · inkling-xhigh · 22,213 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified84.68100% of row best · points · DeepSeek V4 Pro 0813 (max) · 18,462 output tokens / case79.4194% of row best · points · Inkling · 5,785 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie4 benchmark winsOverall lead0 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

FieldDeepSeek-V4-Pro-0813Inkling
DeveloperDeepSeekThinking Machines Lab
FamilyDeepseek V4 ProInkling
ModelDeepSeek-V4-Pro-0813Inkling
VersionDeepSeek-V4-Pro-0813Inkling
Lifecycleactiveactive
Released2026-08-132026-07-15
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio
Output modalitiesTextText
Context window1,049K1,049K
Total parameters1.6T975B
Active parameters49B41B
Licensemitapache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesagents, chat, coding, generation, reasoning, toolsagents, chat, coding, generation, reasoning, tools, vision

DeepSeek V4 Pro 0813 Capabilities

agentschatcodinggenerationreasoningtools
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V4-Pro-0813

Inkling Capabilities

agentschatcodinggenerationreasoningtoolsvision
Serving providers4
Canonical IDthinkingmachines/Inkling

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Pro 0813 vs Inkling FAQs

Is DeepSeek V4 Pro 0813 or Inkling better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Pro 0813 or Inkling?+

DeepSeek V4 Pro 0813 is $1.30 and Inkling is $0.95 per million tokens, so Inkling is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and Inkling is $4.05 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric.

Which has a larger context window, DeepSeek V4 Pro 0813 or Inkling?+

Neither model has a larger sourced context window in this comparison. DeepSeek V4 Pro 0813 is 1,049K and Inkling is 1,049K.

Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Inkling?+

DeepSeek V4 Pro 0813 leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can DeepSeek V4 Pro 0813 or Inkling be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro 0813 is open weight; Inkling is open weight.

Can DeepSeek V4 Pro 0813 and Inkling understand images?+

DeepSeek V4 Pro 0813 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 0813 or Inkling?+

Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Inkling is —.

Do DeepSeek V4 Pro 0813 and Inkling support reasoning and tool use?+

DeepSeek V4 Pro 0813: reasoning and tool calling. Inkling: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Pro 0813 or Inkling?+

DeepSeek V4 Pro 0813 has 3 sourced provider routes; Inkling has 4, so Inkling has broader tracked availability.

Which offers better value, DeepSeek V4 Pro 0813 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.

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