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Comparison · 3 models · Updated Nov 2, 2026

DeepSeek V4 Pro 0813 vs Inkling Small vs Qwen3.8 27B

Too close to call on our weighted score (Inkling Small 68, DeepSeek V4 Pro 0813 67, Qwen3.8 27B 66). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek V4 Pro 0813

    Released Aug 13, 2026

    67/100
    • ECI155.9
    • Price$0.66 / $1.98
    • Context1M
  2. Thinking Machines

    Inkling Small

    Released Jul 30, 2026

    68/100
    • ECI150.5
    • Price$0.58 / $1.44
    • Context1.05M
  3. Alibaba (Qwen)

    Qwen3.8 27B

    Released Aug 14, 2026

    66/100
    • ECI151.8
    • Price$0.40 / $2.55
    • Context262K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Inkling Small 68/100, DeepSeek V4 Pro 0813 67/100, Qwen3.8 27B 66/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability, Inkling Small on price and Inkling Small for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V4 Pro 0813Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.9 · Qwen3.8 27B 151.8 · Inkling Small 150.5
  • Lowest priceInkling SmallInkling Small $0.795 · Qwen3.8 27B $0.938 · DeepSeek V4 Pro 0813 $0.99 per 1M tokens (3:1 blend)
  • Longest contextInkling SmallInkling Small 1,048,576 · DeepSeek V4 Pro 0813 1,000,000 · Qwen3.8 27B 262,144 tokens
  • Widest inputsInkling Small and Qwen3.8 27BDeepSeek V4 Pro 0813: Text · Inkling Small: Text, Images, Audio · Qwen3.8 27B: Text, Images, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek V4 Pro 0813Inkling SmallQwen3.8 27B
CapabilityCapabilities Index (ECI)50%847779
Price25%485249
Inputs & features15%457070
Context window10%606137
Overall100%67/10068/10066/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

DeepSeek V4 Pro 0813 vs Inkling Small vs Qwen3.8 27B specifications side by side
SpecificationDeepSeek V4 Pro 0813DeepSeekInkling SmallThinking MachinesQwen3.8 27BAlibaba (Qwen)
Capability
Capabilities Index (ECI)155.9 (best)150.5151.8
ECI rank#35 of 165 (best)#58 of 165#54 of 165
GPQA DiamondGraduate-level science questions91.7% (best)88.5%—
FrontierMath Tiers 1–3Research-level mathematics64.6% (best)46.3%—
OTIS Mock AIME 2024–2025Competition mathematics98.6% (best)90.0%—
SimpleQA VerifiedShort factual questions52.9% (best)19.1%—
Price per million tokens
Input$0.66$0.58$0.40 (best)
Output$1.98$1.44 (best)$2.55
Cached input$0.022 (best)$0.116—
Blended (3:1)$0.99$0.795 (best)$0.938
Long-context rateSame rateSame rateSame rate
Price sourceOfficial DeepSeek APIOfficial Thinking Machines APIMedian of 49 providers
Limits
Context window1,000,000 tokens1,048,576 tokens (best)262,144 tokens
Max output384,000 tokens1,048,576 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoYesNo
VideoNoNoYes
ReasoningYeslow · high · maxYeslow · medium · high · xhigh · maxYes
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsOpenMITOpenApache-2.0Open
API model IDdeepseek-v4-prothinkingmachines/Inkling-Small—
API providers401253 (best)
ReleasedAug 13, 2026Jul 30, 2026Aug 14, 2026
Knowledge cutoff———
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • DeepSeek V4 Pro 0813$10.56
  • Inkling Small$8.68
  • Qwen3.8 27B$9.10
04 — Questions

Which should you choose?

Which is better: DeepSeek V4 Pro 0813, Inkling Small or Qwen3.8 27B?

It is close. Our weighted score puts them within 2 points (Inkling Small 68/100, DeepSeek V4 Pro 0813 67/100, Qwen3.8 27B 66/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability, Inkling Small on price and Inkling Small for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek V4 Pro 0813, Inkling Small or Qwen3.8 27B?

Inkling Small is cheaper at $0.58 input / $1.44 output per million tokens (official Thinking Machines API price). Qwen3.8 27B costs $0.40 input / $2.55 output per million tokens (median across 49 API providers); DeepSeek V4 Pro 0813 costs $0.66 input / $1.98 output per million tokens (official DeepSeek API price). At a typical mix of three input tokens to one output token, that is $0.795 per million tokens for Inkling Small versus $0.938 for Qwen3.8 27B (1.2× as much) and $0.99 for DeepSeek V4 Pro 0813 (1.2× as much).

Which scores higher on benchmarks?

DeepSeek V4 Pro 0813 scores higher on the Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.9 (#35 of 165), Qwen3.8 27B 151.8 (#54 of 165) and Inkling Small 150.5 (#58 of 165). Their confidence ranges do not overlap (154.2–158.1 vs 149.9–153.6), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V4 Pro 0813, Inkling Small and Qwen3.8 27B yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Pro 0813 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Inkling Small has the largest context window at 1,048,576 tokens, against 1,000,000 for DeepSeek V4 Pro 0813 and 262,144 for Qwen3.8 27B. Maximum output per response: DeepSeek V4 Pro 0813 up to 384,000, Inkling Small up to 1,048,576, Qwen3.8 27B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V4 Pro 0813 accepts text; Inkling Small accepts text, images and audio; Qwen3.8 27B accepts text, images and video. Inkling Small handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights (MIT and Apache-2.0), so you can self-host them.

Which is newer?

Qwen3.8 27B is the newest, released Aug 14, 2026. DeepSeek V4 Pro 0813 came out Aug 13, 2026; Inkling Small came out Jul 30, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.