ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Qwen3 235B-A22B Thinking 2507 vs Claude Haiku 5.5 vs GLM-4.7

Claude Haiku 5.5 comes out ahead, 83 to 55 and 55 on our weighted score, and it is the cheaper option too.

  1. 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
  2. Our pick

    Anthropic

    Claude Haiku 5.5

    Released Oct 7, 2026New

    83/100
    • ECI160.4
    • Price$0.10 / $0.50
    • Context1M
    Full specs Remove Claude Haiku 5.5

  3. 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
01 — Verdict

Claude Haiku 5.5 is our pick

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 5.5Capabilities Index (ECI): Claude Haiku 5.5 160.4 · Qwen3 235B-A22B Thinking 2507 143.8 · GLM-4.7 143.7
  • Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · Qwen3 235B-A22B Thinking 2507 $0.95 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 5.5Claude Haiku 5.5 1,000,000 · Qwen3 235B-A22B Thinking 2507 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsClaude Haiku 5.5Qwen3 235B-A22B Thinking 2507: Text · Claude Haiku 5.5: Text, Images, PDFs · GLM-4.7: Text
  • Self-hostingQwen3 235B-A22B Thinking 2507 and GLM-4.7Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightQwen3 235B-A22B Thinking 2507Claude Haiku 5.5GLM-4.7
CapabilityCapabilities Index (ECI)50%698969
Price25%498048
Inputs & features15%358035
Context window10%376032
Overall100%55/10083/10055/100
02 — Side by side

Every spec in one table

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

Qwen3 235B-A22B Thinking 2507 vs Claude Haiku 5.5 vs GLM-4.7 specifications side by side
SpecificationQwen3 235B-A22B Thinking 2507Alibaba (Qwen)Claude Haiku 5.5AnthropicGLM-4.7Z.ai (Zhipu)
Capability
Capabilities Index (ECI)143.8160.4 (best)143.7
ECI rank#93 of 165#14 of 165 (best)#94 of 165
GPQA DiamondGraduate-level science questions80.1%89.7% (best)83.3%
FrontierMath Tiers 1–3Research-level mathematics—75.1%—
OTIS Mock AIME 2024–2025Competition mathematics86.7%98.9% (best)83.3%
SimpleQA VerifiedShort factual questions40.4% (best)23.8%32.2%
Price per million tokens
Input$0.30$0.10 (best)$0.60
Output$2.90$0.50 (best)$2.20
Cached input—$0.01 (best)$0.11
Blended (3:1)$0.95$0.20 (best)$1.00
Long-context rateSame rateOver 100K: $0.50 / $2.50Same rate
Price sourceMedian of 11 providersOfficial Anthropic APIOfficial Z.AI API
Limits
Context window262,144 tokens1,000,000 tokens (best)204,800 tokens
Max output81,920 tokens128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYeslow · medium · high · xhigh · maxYes
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenApache 2.0ProprietaryOpen
API model ID—claude-haiku-5-5glm-4.7
API providers1233 (best)31
ReleasedJul 25, 2025Oct 7, 2026Dec 22, 2025
Knowledge cutoff—Jun 2026Apr 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 235B-A22B Thinking 2507$8.80
  • Claude Haiku 5.5$2.00
  • GLM-4.7$10.40
04 — Questions

Which should you choose?

Which is better: Qwen3 235B-A22B Thinking 2507, Claude Haiku 5.5 or GLM-4.7?

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Qwen3 235B-A22B Thinking 2507 (55) and GLM-4.7 (55). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3 235B-A22B Thinking 2507, Claude Haiku 5.5 or GLM-4.7?

Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). Qwen3 235B-A22B Thinking 2507 costs $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). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Claude Haiku 5.5 versus $0.95 for Qwen3 235B-A22B Thinking 2507 (4.7× as much) and $1.00 for GLM-4.7 (5× as much).

Which scores higher on benchmarks?

Claude Haiku 5.5 scores higher on the Capabilities Index (ECI): Claude Haiku 5.5 160.4 (#14 of 165), Qwen3 235B-A22B Thinking 2507 143.8 (#93 of 165) and GLM-4.7 143.7 (#94 of 165). Their confidence ranges do not overlap (157.3–163.8 vs 141.9–145.2), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Haiku 5.5 89.7%, GLM-4.7 83.3%, Qwen3 235B-A22B Thinking 2507 80.1%; OTIS Mock AIME 2024–2025 — Claude Haiku 5.5 98.9%, Qwen3 235B-A22B Thinking 2507 86.7%, GLM-4.7 83.3%; SimpleQA Verified — Qwen3 235B-A22B Thinking 2507 40.4%, GLM-4.7 32.2%, Claude Haiku 5.5 23.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 235B-A22B Thinking 2507, Claude Haiku 5.5 and GLM-4.7 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 5.5 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?

Claude Haiku 5.5 has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3 235B-A22B Thinking 2507 and 204,800 for GLM-4.7. Maximum output per response: Qwen3 235B-A22B Thinking 2507 up to 81,920, Claude Haiku 5.5 up to 128,000, GLM-4.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Qwen3 235B-A22B Thinking 2507 accepts text; Claude Haiku 5.5 accepts text, images and PDFs; GLM-4.7 accepts text. Claude Haiku 5.5 handles the widest range of inputs.

Are any of these open source?

Qwen3 235B-A22B Thinking 2507 and GLM-4.7 publishes its weights (Apache 2.0) and can be self-hosted; Claude Haiku 5.5 is proprietary.

Which is newer?

Claude Haiku 5.5 is the newest, released Oct 7, 2026. GLM-4.7 came out Dec 22, 2025; Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025. Knowledge cutoff: Claude Haiku 5.5 Jun 2026, GLM-4.7 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 Nov 2, 2026.

05 — Keep comparing

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