ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Granite-4.0-H-Micro vs AutoGLM Phone 9B Multilingual

Too close to call on our weighted score (Granite-4.0-H-Micro 62, AutoGLM Phone 9B Multilingual 60). The right pick depends on what you value most.

  1. IBM

    Granite-4.0-H-Micro

    Released Oct 2, 2025

    62/100
    • ECI—
    • Price$0.018 / $0.115
    • Context131K
    Full specs Remove Granite-4.0-H-Micro

  2. Z.ai (Zhipu)

    AutoGLM Phone 9B Multilingual

    Released Dec 10, 2025

    60/100
    • ECI—
    • Price$0.035 / $0.138
    • Context66K
    Full specs Remove AutoGLM Phone 9B Multilingual

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Granite-4.0-H-Micro 62/100, AutoGLM Phone 9B Multilingual 60/100), so choose by what matters most for your work: Granite-4.0-H-Micro on price and Granite-4.0-H-Micro for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceGranite-4.0-H-MicroGranite-4.0-H-Micro $0.042 · AutoGLM Phone 9B Multilingual $0.061 per 1M tokens (3:1 blend)
  • Longest contextGranite-4.0-H-MicroGranite-4.0-H-Micro 131,072 · AutoGLM Phone 9B Multilingual 65,536 tokens
  • Widest inputsAutoGLM Phone 9B MultilingualGranite-4.0-H-Micro: Text · AutoGLM Phone 9B Multilingual: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGranite-4.0-H-MicroAutoGLM Phone 9B Multilingual
Price50%100100
Inputs & features30%2525
Context window20%2512
Overall100%62/10060/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Granite-4.0-H-Micro vs AutoGLM Phone 9B Multilingual specifications side by side
SpecificationGranite-4.0-H-MicroIBMAutoGLM Phone 9B MultilingualZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.018 (best)$0.035
Output$0.115 (best)$0.138
Cached input——
Blended (3:1)$0.042 (best)$0.061
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 2 providers
Limits
Context window131,072 tokens (best)65,536 tokens
Max output131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenOpenMIT
API model ID——
API providers22
ReleasedOct 2, 2025Dec 10, 2025
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.

  • Granite-4.0-H-Micro$0.405
  • AutoGLM Phone 9B Multilingual$0.626
04 — Questions

Which should you choose?

Which is better: Granite-4.0-H-Micro or AutoGLM Phone 9B Multilingual?

It is close. Our weighted score puts them within 2 points (Granite-4.0-H-Micro 62/100, AutoGLM Phone 9B Multilingual 60/100), so choose by what matters most for your work: Granite-4.0-H-Micro on price and Granite-4.0-H-Micro for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Granite-4.0-H-Micro or AutoGLM Phone 9B Multilingual?

Granite-4.0-H-Micro is cheaper at $0.018 input / $0.115 output per million tokens (median across 2 API providers). AutoGLM Phone 9B Multilingual costs $0.035 input / $0.138 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.042 per million tokens for Granite-4.0-H-Micro versus $0.061 for AutoGLM Phone 9B Multilingual (1.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Granite-4.0-H-Micro has not been scored yet and AutoGLM Phone 9B Multilingual has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Granite-4.0-H-Micro and AutoGLM Phone 9B Multilingual yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that AutoGLM Phone 9B Multilingual does not support tool calling, which most coding agents need.

Which has the bigger context window?

Granite-4.0-H-Micro has the largest context window at 131,072 tokens, against 65,536 for AutoGLM Phone 9B Multilingual. Maximum output per response: Granite-4.0-H-Micro up to 131,072, AutoGLM Phone 9B Multilingual up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Granite-4.0-H-Micro accepts text; AutoGLM Phone 9B Multilingual accepts text and images. AutoGLM Phone 9B Multilingual handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (MIT), so you can self-host them.

Which is newer?

AutoGLM Phone 9B Multilingual is the newest, released Dec 10, 2025. Granite-4.0-H-Micro came out Oct 2, 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 Nov 2, 2026.

05 — Keep comparing

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