ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GLM-4.7 vs Claude Haiku 4.5 vs Qwen3 235B-A22B Thinking 2507

Too close to call on our weighted score (Claude Haiku 4.5 57, Qwen3 235B-A22B Thinking 2507 55, GLM-4.7 55). The right pick depends on what you value most.

  1. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    55/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

  2. Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    57/100
    • ECI142.2
    • Price$1.00 / $5.00
    • Context200K
    Full specs Remove Claude Haiku 4.5

  3. Alibaba (Qwen)

    Qwen3 235B-A22B Thinking 2507

    Released Jul 25, 2025

    55/100
    • ECI143.8
    • Price$0.30 / $2.90
    • Context262K
    Full specs Remove Qwen3 235B-A22B Thinking 2507
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Claude Haiku 4.5 57/100, Qwen3 235B-A22B Thinking 2507 55/100, GLM-4.7 55/100), so choose by what matters most for your work: Qwen3 235B-A22B Thinking 2507 for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3 235B-A22B Thinking 2507Capabilities Index (ECI): Qwen3 235B-A22B Thinking 2507 143.8 · GLM-4.7 143.7 · Claude Haiku 4.5 142.2
  • Lowest priceQwen3 235B-A22B Thinking 2507Qwen3 235B-A22B Thinking 2507 $0.95 · GLM-4.7 $1.00 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3 235B-A22B Thinking 2507Qwen3 235B-A22B Thinking 2507 262,144 · GLM-4.7 204,800 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsClaude Haiku 4.5GLM-4.7: Text · Claude Haiku 4.5: Text, Images, PDFs · Qwen3 235B-A22B Thinking 2507: Text
  • Self-hostingGLM-4.7 and Qwen3 235B-A22B Thinking 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGLM-4.7Claude Haiku 4.5Qwen3 235B-A22B Thinking 2507
CapabilityCapabilities Index (ECI)50%696769
Price25%483449
Inputs & features15%358035
Context window10%323237
Overall100%55/10057/10055/100
02 — Side by side

Every spec in one table

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

GLM-4.7 vs Claude Haiku 4.5 vs Qwen3 235B-A22B Thinking 2507 specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)Claude Haiku 4.5AnthropicQwen3 235B-A22B Thinking 2507Alibaba (Qwen)
Capability
Capabilities Index (ECI)143.7142.2143.8 (best)
ECI rank#94 of 165#102 of 165#93 of 165 (best)
GPQA DiamondGraduate-level science questions83.3% (best)71.2%80.1%
OTIS Mock AIME 2024–2025Competition mathematics83.3%66.7%86.7% (best)
SimpleQA VerifiedShort factual questions32.2%13.2%40.4% (best)
Price per million tokens
Input$0.60$1.00$0.30 (best)
Output$2.20 (best)$5.00$2.90
Cached input$0.11$0.10 (best)—
Blended (3:1)$1.00$2.00$0.95 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Anthropic APIMedian of 11 providers
Limits
Context window204,800 tokens200,000 tokens262,144 tokens (best)
Max output131,072 tokens (best)64,000 tokens81,920 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenProprietaryOpenApache 2.0
API model IDglm-4.7claude-haiku-4-5—
API providers3148 (best)12
ReleasedDec 22, 2025Oct 15, 2025Jul 25, 2025
Knowledge cutoffApr 2025Feb 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-4.7$10.40
  • Claude Haiku 4.5$20.00
  • Qwen3 235B-A22B Thinking 2507$8.80
04 — Questions

Which should you choose?

Which is better: GLM-4.7, Claude Haiku 4.5 or Qwen3 235B-A22B Thinking 2507?

It is close. Our weighted score puts them within 2 points (Claude Haiku 4.5 57/100, Qwen3 235B-A22B Thinking 2507 55/100, GLM-4.7 55/100), so choose by what matters most for your work: Qwen3 235B-A22B Thinking 2507 for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-4.7, Claude Haiku 4.5 or Qwen3 235B-A22B Thinking 2507?

Qwen3 235B-A22B Thinking 2507 is cheaper at $0.30 input / $2.90 output per million tokens (median across 11 API providers). GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price); Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $0.95 per million tokens for Qwen3 235B-A22B Thinking 2507 versus $1.00 for GLM-4.7 (1.1× as much) and $2.00 for Claude Haiku 4.5 (2.1× as much).

Which scores higher on benchmarks?

Qwen3 235B-A22B Thinking 2507 scores higher on the Capabilities Index (ECI): Qwen3 235B-A22B Thinking 2507 143.8 (#93 of 165), GLM-4.7 143.7 (#94 of 165) and Claude Haiku 4.5 142.2 (#102 of 165). The confidence ranges of the top two overlap (141.9–145.2 vs 141.4–145.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, Qwen3 235B-A22B Thinking 2507 80.1%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — Qwen3 235B-A22B Thinking 2507 86.7%, GLM-4.7 83.3%, Claude Haiku 4.5 66.7%; SimpleQA Verified — Qwen3 235B-A22B Thinking 2507 40.4%, GLM-4.7 32.2%, Claude Haiku 4.5 13.2%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7, Claude Haiku 4.5 and Qwen3 235B-A22B Thinking 2507 yet, so there is no like-for-like coding score. On overall capability, Qwen3 235B-A22B Thinking 2507 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?

Qwen3 235B-A22B Thinking 2507 has the largest context window at 262,144 tokens, against 204,800 for GLM-4.7 and 200,000 for Claude Haiku 4.5. Maximum output per response: GLM-4.7 up to 131,072, Claude Haiku 4.5 up to 64,000, Qwen3 235B-A22B Thinking 2507 up to 81,920 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; Claude Haiku 4.5 accepts text, images and PDFs; Qwen3 235B-A22B Thinking 2507 accepts text. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

GLM-4.7 and Qwen3 235B-A22B Thinking 2507 publishes its weights (Apache 2.0) and can be self-hosted; Claude Haiku 4.5 is proprietary.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025. Knowledge cutoff: GLM-4.7 Apr 2025, 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 Nov 2, 2026.

05 — Keep comparing

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