ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-5.1 vs Claude Haiku 4.5

Too close to call on our weighted score (Claude Haiku 4.5 58, GLM-5.1 57). The right pick depends on what you value most.

  1. Z.ai (Zhipu)

    GLM-5.1

    Released Apr 7, 2026

    57/100
    • ECI149.9
    • Price$1.40 / $4.40
    • Context200K
    Full specs Remove GLM-5.1

  2. Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
    Full specs Remove Claude Haiku 4.5

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Claude Haiku 4.5 58/100, GLM-5.1 57/100), so choose by what matters most for your work: GLM-5.1 for raw capability and Claude Haiku 4.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-5.1Capabilities Index (ECI): GLM-5.1 149.9 · Claude Haiku 4.5 142.4
  • Lowest priceClaude Haiku 4.5Claude Haiku 4.5 $2.00 · GLM-5.1 $2.15 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGLM-5.1 200,000 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsClaude Haiku 4.5GLM-5.1: Text · Claude Haiku 4.5: Text, Images, PDFs
  • Self-hostingGLM-5.1Publishes downloadable weights
How the score is built
MeasureWeightGLM-5.1Claude Haiku 4.5
CapabilityCapabilities Index (ECI)50%7869
Price25%3436
Inputs & features15%4580
Context window10%3232
Overall100%57/10058/100
02 — Side by side

Every spec in one table

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

GLM-5.1 vs Claude Haiku 4.5 specifications side by side
SpecificationGLM-5.1Z.ai (Zhipu)Claude Haiku 4.5Anthropic
Capability
Capabilities Index (ECI)149.9 (best)142.4
ECI rank#51 of 148 (best)#90 of 148
GPQA DiamondGraduate-level science questions89.9% (best)71.2%
FrontierMath Tiers 1–3Research-level mathematics36.8%—
OTIS Mock AIME 2024–2025Competition mathematics93.3% (best)66.7%
SWE-bench VerifiedFixing real GitHub issues74.2%—
SimpleQA VerifiedShort factual questions34.0% (best)13.2%
Price per million tokens
Input$1.40$1.00 (best)
Output$4.40 (best)$5.00
Cached input$0.26$0.10 (best)
Blended (3:1)$2.15$2.00 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Anthropic API
Limits
Context window200,000 tokens200,000 tokens
Max output131,072 tokens (best)64,000 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenProprietary
API model IDglm-5.1claude-haiku-4-5
API providers40 (best)34
ReleasedApr 7, 2026Oct 15, 2025
Knowledge cutoff—Feb 28, 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.

  • GLM-5.1$22.80
  • Claude Haiku 4.5$20.00
04 — Questions

Which should you choose?

Which is better: GLM-5.1 or Claude Haiku 4.5?

It is close. Our weighted score puts them within a point (Claude Haiku 4.5 58/100, GLM-5.1 57/100), so choose by what matters most for your work: GLM-5.1 for raw capability and Claude Haiku 4.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-5.1 or Claude Haiku 4.5?

Claude Haiku 4.5 is cheaper at $1.00 input / $5.00 output per million tokens (official Anthropic API price). GLM-5.1 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Claude Haiku 4.5 versus $2.15 for GLM-5.1 (1.1× as much).

Which scores higher on benchmarks?

GLM-5.1 scores higher on the Capabilities Index (ECI): GLM-5.1 149.9 (#51 of 148) and Claude Haiku 4.5 142.4 (#90 of 148). Their confidence ranges do not overlap (148.0–151.6 vs 139.5–144.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — GLM-5.1 89.9%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — GLM-5.1 93.3%, Claude Haiku 4.5 66.7%; SimpleQA Verified — GLM-5.1 34.0%, Claude Haiku 4.5 13.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, GLM-5.1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

GLM-5.1 and Claude Haiku 4.5 share the same 200,000-token context window. Maximum output per response: GLM-5.1 up to 131,072, Claude Haiku 4.5 up to 64,000 tokens.

Which can read images, PDFs, audio or video?

GLM-5.1 accepts text; Claude Haiku 4.5 accepts text, images and PDFs. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

GLM-5.1 publishes its weights and can be self-hosted; Claude Haiku 4.5 is proprietary.

Which is newer?

GLM-5.1 is the newest, released Apr 7, 2026. Claude Haiku 4.5 came out Oct 15, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 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.

05 — Keep comparing

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