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Comparison · 3 models · Updated Oct 4, 2026

Inkling Small vs Qwen3.8 27B vs Qwen3.8 Max

Too close to call on our weighted score (Inkling Small 70, Qwen3.8 Max 69, Qwen3.8 27B 67). The right pick depends on what you value most.

  1. Thinking Machines

    Inkling Small

    Released Jul 30, 2026

    70/100
    • ECI150.2
    • Price$0.50 / $1.20
    • Context1.05M
  2. Alibaba (Qwen)

    Qwen3.8 27B

    Released Aug 14, 2026

    67/100
    • ECI149.4
    • Price$0.40 / $2.50
    • Context262K
  3. Alibaba (Qwen)

    Qwen3.8 Max

    Released Aug 3, 2026

    69/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context1M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Inkling Small 70/100, Qwen3.8 Max 69/100, Qwen3.8 27B 67/100), so choose by what matters most for your work: Qwen3.8 Max 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%.

  • CapabilityQwen3.8 MaxCapabilities Index (ECI): Qwen3.8 Max 156.6 · Inkling Small 150.2 · Qwen3.8 27B 149.4
  • Lowest priceInkling SmallInkling Small $0.675 · Qwen3.8 27B $0.925 · Qwen3.8 Max $3.00 per 1M tokens (3:1 blend)
  • Longest contextInkling SmallInkling Small 1,048,576 · Qwen3.8 Max 1,000,000 · Qwen3.8 27B 262,144 tokens
  • Widest inputsQwen3.8 MaxInkling Small: Text, Images, Audio · Qwen3.8 27B: Text, Images, Video · Qwen3.8 Max: Text, Images, PDFs, Video
  • Self-hostingInkling Small and Qwen3.8 27BPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightInkling SmallQwen3.8 27BQwen3.8 Max
CapabilityCapabilities Index (ECI)50%787786
Price25%585127
Inputs & features15%708090
Context window10%613760
Overall100%70/10067/10069/100
02 — Side by side

Every spec in one table

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

Inkling Small vs Qwen3.8 27B vs Qwen3.8 Max specifications side by side
SpecificationInkling SmallThinking MachinesQwen3.8 27BAlibaba (Qwen)Qwen3.8 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)150.2149.4156.6 (best)
ECI rank#47 of 148#53 of 148#20 of 148 (best)
GPQA DiamondGraduate-level science questions88.5%—92.7% (best)
FrontierMath Tiers 1–3Research-level mathematics46.3%—74.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics90.0%—99.4% (best)
SimpleQA VerifiedShort factual questions19.1%—45.8% (best)
Price per million tokens
Input$0.50$0.40 (best)$2.00
Output$1.20 (best)$2.50$6.00
Cached input——$0.25
Blended (3:1)$0.675 (best)$0.925$3.00
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 11 providersMedian of 39 providersOfficial Alibaba API
Limits
Context window1,048,576 tokens (best)262,144 tokens1,000,000 tokens
Max output1,048,576 tokens (best)32,768 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoYes
AudioYesNoNo
VideoNoYesYes
ReasoningYesYesYeslow · medium · xhigh
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenApache-2.0OpenProprietary
API model ID——qwen3.8-max
API providers1141 (best)25
ReleasedJul 30, 2026Aug 14, 2026Aug 3, 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.

  • Inkling Small$7.40
  • Qwen3.8 27B$9.00
  • Qwen3.8 Max$32.00
04 — Questions

Which should you choose?

Which is better: Inkling Small, Qwen3.8 27B or Qwen3.8 Max?

It is close. Our weighted score puts them within a point (Inkling Small 70/100, Qwen3.8 Max 69/100, Qwen3.8 27B 67/100), so choose by what matters most for your work: Qwen3.8 Max 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, Inkling Small, Qwen3.8 27B or Qwen3.8 Max?

Inkling Small is cheaper at $0.50 input / $1.20 output per million tokens (median across 11 API providers). Qwen3.8 27B costs $0.40 input / $2.50 output per million tokens (median across 39 API providers); Qwen3.8 Max costs $2.00 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.675 per million tokens for Inkling Small versus $0.925 for Qwen3.8 27B (1.4× as much) and $3.00 for Qwen3.8 Max (4.4× as much).

Which scores higher on benchmarks?

Qwen3.8 Max scores higher on the Capabilities Index (ECI): Qwen3.8 Max 156.6 (#20 of 148), Inkling Small 150.2 (#47 of 148) and Qwen3.8 27B 149.4 (#53 of 148). Their confidence ranges do not overlap (154.5–158.8 vs 147.5–152.1), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for Inkling Small, Qwen3.8 27B and Qwen3.8 Max yet, so there is no like-for-like coding score. On overall capability, Qwen3.8 Max 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 Qwen3.8 Max and 262,144 for Qwen3.8 27B. Maximum output per response: Inkling Small up to 1,048,576, Qwen3.8 27B up to 32,768, Qwen3.8 Max up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Inkling Small accepts text, images and audio; Qwen3.8 27B accepts text, images and video; Qwen3.8 Max accepts text, images, PDFs and video. Qwen3.8 Max handles the widest range of inputs.

Are any of these open source?

Inkling Small and Qwen3.8 27B publishes its weights (Apache-2.0) and can be self-hosted; Qwen3.8 Max is proprietary.

Which is newer?

Qwen3.8 27B is the newest, released Aug 14, 2026. Qwen3.8 Max came out Aug 3, 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 Oct 4, 2026.