ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GLM-4.7 vs Qwen3 235B-A22B Thinking 2507 vs Qwen3 Omni 30B A3B Thinking

Qwen3 Omni 30B A3B Thinking comes out ahead, 59 to 42 and 41 on our weighted score, and it is the cheaper option too.

  1. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    41/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

  2. Alibaba (Qwen)

    Qwen3 235B-A22B Thinking 2507

    Released Jul 25, 2025

    42/100
    • ECI143.8
    • Price$0.30 / $2.90
    • Context262K
    Full specs Remove Qwen3 235B-A22B Thinking 2507
  3. Our pick

    Alibaba (Qwen)

    Qwen3 Omni 30B A3B Thinking

    Released Sep 22, 2025

    59/100
    • ECI—
    • Price$0.25 / $0.97
    • Context66K
    Full specs Remove Qwen3 Omni 30B A3B Thinking
01 — Verdict

Qwen3 Omni 30B A3B Thinking is our pick

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Qwen3 235B-A22B Thinking 2507 (42) and GLM-4.7 (41). It leads on price and inputs & features. Qwen3 235B-A22B Thinking 2507 wins on context window. 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 priceQwen3 Omni 30B A3B ThinkingQwen3 Omni 30B A3B Thinking $0.43 · Qwen3 235B-A22B Thinking 2507 $0.95 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3 235B-A22B Thinking 2507Qwen3 235B-A22B Thinking 2507 262,144 · GLM-4.7 204,800 · Qwen3 Omni 30B A3B Thinking 65,536 tokens
  • Widest inputsQwen3 Omni 30B A3B ThinkingGLM-4.7: Text · Qwen3 235B-A22B Thinking 2507: Text · Qwen3 Omni 30B A3B Thinking: Text, Images, Audio, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.7Qwen3 235B-A22B Thinking 2507Qwen3 Omni 30B A3B Thinking
Price50%484964
Inputs & features30%353580
Context window20%323712
Overall100%41/10042/10059/100

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.

GLM-4.7 vs Qwen3 235B-A22B Thinking 2507 vs Qwen3 Omni 30B A3B Thinking specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)Qwen3 235B-A22B Thinking 2507Alibaba (Qwen)Qwen3 Omni 30B A3B ThinkingAlibaba (Qwen)
Capability
Capabilities Index (ECI)143.7143.8 (best)—
ECI rank#94 of 165#93 of 165 (best)—
GPQA DiamondGraduate-level science questions83.3% (best)80.1%—
OTIS Mock AIME 2024–2025Competition mathematics83.3%86.7% (best)—
SimpleQA VerifiedShort factual questions32.2%40.4% (best)—
Price per million tokens
Input$0.60$0.30$0.25 (best)
Output$2.20$2.90$0.97 (best)
Cached input$0.11——
Blended (3:1)$1.00$0.95$0.43 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIMedian of 11 providersMedian of 1 providers
Limits
Context window204,800 tokens262,144 tokens (best)65,536 tokens
Max output131,072 tokens (best)81,920 tokens16,384 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoYes
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenApache 2.0OpenApache-2.0
API model IDglm-4.7——
API providers31 (best)121
ReleasedDec 22, 2025Jul 25, 2025Sep 22, 2025
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.

  • GLM-4.7$10.40
  • Qwen3 235B-A22B Thinking 2507$8.80
  • Qwen3 Omni 30B A3B Thinking$4.44
04 — Questions

Which should you choose?

Which is better: GLM-4.7, Qwen3 235B-A22B Thinking 2507 or Qwen3 Omni 30B A3B Thinking?

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Qwen3 235B-A22B Thinking 2507 (42) and GLM-4.7 (41). It leads on price and inputs & features. Qwen3 235B-A22B Thinking 2507 wins on context window. 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, GLM-4.7, Qwen3 235B-A22B Thinking 2507 or Qwen3 Omni 30B A3B Thinking?

Qwen3 Omni 30B A3B Thinking is cheaper at $0.25 input / $0.97 output per million tokens (median across 1 API provider). 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 $0.43 per million tokens for Qwen3 Omni 30B A3B Thinking versus $0.95 for Qwen3 235B-A22B Thinking 2507 (2.2× as much) and $1.00 for GLM-4.7 (2.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GLM-4.7 has an ECI of 143.7, Qwen3 235B-A22B Thinking 2507 has an ECI of 143.8 and Qwen3 Omni 30B A3B Thinking has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7, Qwen3 235B-A22B Thinking 2507 and Qwen3 Omni 30B A3B Thinking yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. 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 65,536 for Qwen3 Omni 30B A3B Thinking. Maximum output per response: GLM-4.7 up to 131,072, Qwen3 235B-A22B Thinking 2507 up to 81,920, Qwen3 Omni 30B A3B Thinking up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; Qwen3 235B-A22B Thinking 2507 accepts text; Qwen3 Omni 30B A3B Thinking accepts text, images, audio and video. Qwen3 Omni 30B A3B Thinking handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights (Apache 2.0 and Apache-2.0), so you can self-host them.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. Qwen3 Omni 30B A3B Thinking came out Sep 22, 2025; Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025. Knowledge cutoff: 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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