ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3.6 Max Preview vs Inkling Small vs GLM-5.1

Inkling Small comes out ahead, 70 to 57 and 54 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3.6 Max Preview

    Released Apr 20, 2026

    54/100
    • ECI149.2
    • Price$1.30 / $7.80
    • Context262K
  2. Our pick

    Thinking Machines

    Inkling Small

    Released Jul 30, 2026

    70/100
    • ECI150.2
    • Price$0.50 / $1.20
    • Context1.05M
  3. Z.ai (Zhipu)

    GLM-5.1

    Released Apr 7, 2026

    57/100
    • ECI149.9
    • Price$1.40 / $4.40
    • Context200K
01 — Verdict

Inkling Small is our pick

Inkling Small is the better all-round choice, scoring 70/100 against GLM-5.1 (57) and Qwen3.6 Max Preview (54). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityInkling SmallCapabilities Index (ECI): Inkling Small 150.2 · GLM-5.1 149.9 · Qwen3.6 Max Preview 149.2
  • Lowest priceInkling SmallInkling Small $0.675 · GLM-5.1 $2.15 · Qwen3.6 Max Preview $2.92 per 1M tokens (3:1 blend)
  • Longest contextInkling SmallInkling Small 1,048,576 · Qwen3.6 Max Preview 262,144 · GLM-5.1 200,000 tokens
  • Widest inputsInkling SmallQwen3.6 Max Preview: Text · Inkling Small: Text, Images, Audio · GLM-5.1: Text
  • Self-hostingInkling Small and GLM-5.1Publishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightQwen3.6 Max PreviewInkling SmallGLM-5.1
CapabilityCapabilities Index (ECI)50%777878
Price25%285834
Inputs & features15%357045
Context window10%376132
Overall100%54/10070/10057/100
02 — Side by side

Every spec in one table

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

Qwen3.6 Max Preview vs Inkling Small vs GLM-5.1 specifications side by side
SpecificationQwen3.6 Max PreviewAlibaba (Qwen)Inkling SmallThinking MachinesGLM-5.1Z.ai (Zhipu)
Capability
Capabilities Index (ECI)149.2150.2 (best)149.9
ECI rank#54 of 148#47 of 148 (best)#51 of 148
GPQA DiamondGraduate-level science questions87.4%88.5%89.9% (best)
FrontierMath Tiers 1–3Research-level mathematics—46.3% (best)36.8%
OTIS Mock AIME 2024–2025Competition mathematics91.1%90.0%93.3% (best)
SWE-bench VerifiedFixing real GitHub issues76.7% (best)—74.2%
SimpleQA VerifiedShort factual questions52.0% (best)19.1%34.0%
Price per million tokens
Input$1.30$0.50 (best)$1.40
Output$7.80$1.20 (best)$4.40
Cached input$0.13 (best)—$0.26
Blended (3:1)$2.92$0.675 (best)$2.15
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIMedian of 11 providersOfficial Z.AI API
Limits
Context window262,144 tokens1,048,576 tokens (best)200,000 tokens
Max output65,536 tokens1,048,576 tokens (best)131,072 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoNoNo
AudioNoYesNo
VideoNoNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsProprietaryOpenApache-2.0Open
API model IDqwen3.6-max-preview—glm-5.1
API providers101140 (best)
ReleasedApr 20, 2026Jul 30, 2026Apr 7, 2026
Knowledge cutoffApr 2025——
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.

  • Qwen3.6 Max Preview$28.60
  • Inkling Small$7.40
  • GLM-5.1$22.80
04 — Questions

Which should you choose?

Which is better: Qwen3.6 Max Preview, Inkling Small or GLM-5.1?

Inkling Small is the better all-round choice, scoring 70/100 against GLM-5.1 (57) and Qwen3.6 Max Preview (54). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.6 Max Preview, Inkling Small or GLM-5.1?

Inkling Small is cheaper at $0.50 input / $1.20 output per million tokens (median across 11 API providers). GLM-5.1 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price); Qwen3.6 Max Preview costs $1.30 input / $7.80 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 $2.15 for GLM-5.1 (3.2× as much) and $2.92 for Qwen3.6 Max Preview (4.3× as much).

Which scores higher on benchmarks?

Inkling Small scores higher on the Capabilities Index (ECI): Inkling Small 150.2 (#47 of 148), GLM-5.1 149.9 (#51 of 148) and Qwen3.6 Max Preview 149.2 (#54 of 148). The confidence ranges of the top two overlap (147.5–152.1 vs 148.0–151.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-5.1 89.9%, Inkling Small 88.5%, Qwen3.6 Max Preview 87.4%; OTIS Mock AIME 2024–2025 — GLM-5.1 93.3%, Qwen3.6 Max Preview 91.1%, Inkling Small 90.0%; SimpleQA Verified — Qwen3.6 Max Preview 52.0%, GLM-5.1 34.0%, Inkling Small 19.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Inkling Small yet, so there is no like-for-like coding score. On overall capability, Inkling Small 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 262,144 for Qwen3.6 Max Preview and 200,000 for GLM-5.1. Maximum output per response: Qwen3.6 Max Preview up to 65,536, Inkling Small up to 1,048,576, GLM-5.1 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Qwen3.6 Max Preview accepts text; Inkling Small accepts text, images and audio; GLM-5.1 accepts text. Inkling Small handles the widest range of inputs.

Are any of these open source?

Inkling Small and GLM-5.1 publishes its weights (Apache-2.0) and can be self-hosted; Qwen3.6 Max Preview is proprietary.

Which is newer?

Inkling Small is the newest, released Jul 30, 2026. Qwen3.6 Max Preview came out Apr 20, 2026; GLM-5.1 came out Apr 7, 2026. Knowledge cutoff: Qwen3.6 Max Preview Apr 2025.

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.