ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GLM-4.7 vs Gemini 2.5 Pro Preview 06-05 vs Qwen3 235B-A22B Thinking 2507

Gemini 2.5 Pro Preview 06-05 comes out ahead, 48 to 42 and 41 on our weighted score, though Qwen3 235B-A22B Thinking 2507 is 3.5× cheaper per token.

  1. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    41/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
  2. Our pick

    Google

    Gemini 2.5 Pro Preview 06-05

    Released Jun 5, 2025

    48/100
    • ECI—
    • Price$1.22 / $9.75
    • Context1.05M
  3. Alibaba (Qwen)

    Qwen3 235B-A22B Thinking 2507

    Released Jul 25, 2025

    42/100
    • ECI143.8
    • Price$0.30 / $2.90
    • Context262K
01 — Verdict

Gemini 2.5 Pro Preview 06-05 is our pick

Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against Qwen3 235B-A22B Thinking 2507 (42) and GLM-4.7 (41). It leads on inputs & features and 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 235B-A22B Thinking 2507Qwen3 235B-A22B Thinking 2507 $0.95 · GLM-4.7 $1.00 · Gemini 2.5 Pro Preview 06-05 $3.35 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05 1,048,576 · Qwen3 235B-A22B Thinking 2507 262,144 · GLM-4.7 204,800 tokens
  • Widest inputsGemini 2.5 Pro Preview 06-05GLM-4.7: Text · Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio · 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-4.7Gemini 2.5 Pro Preview 06-05Qwen3 235B-A22B Thinking 2507
Price50%482449
Inputs & features30%358035
Context window20%326137
Overall100%41/10048/10042/100

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 Gemini 2.5 Pro Preview 06-05 vs Qwen3 235B-A22B Thinking 2507 specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)Gemini 2.5 Pro Preview 06-05GoogleQwen3 235B-A22B Thinking 2507Alibaba (Qwen)
Capability
Capabilities Index (ECI)143.7—143.8 (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$1.22$0.30 (best)
Output$2.20 (best)$9.75$2.90
Cached input$0.11——
Blended (3:1)$1.00$3.35$0.95 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIMedian of 4 providersMedian of 11 providers
Limits
Context window204,800 tokens1,048,576 tokens (best)262,144 tokens
Max output131,072 tokens (best)65,536 tokens81,920 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesNo
AudioNoYesNo
VideoNoNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenProprietaryOpenApache 2.0
API model IDglm-4.7——
API providers31 (best)412
ReleasedDec 22, 2025Jun 5, 2025Jul 25, 2025
Knowledge cutoffApr 2025Jan 31, 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
  • Gemini 2.5 Pro Preview 06-05$31.69
  • Qwen3 235B-A22B Thinking 2507$8.80
04 — Questions

Which should you choose?

Which is better: GLM-4.7, Gemini 2.5 Pro Preview 06-05 or Qwen3 235B-A22B Thinking 2507?

Gemini 2.5 Pro Preview 06-05 is the better all-round choice, scoring 48/100 against Qwen3 235B-A22B Thinking 2507 (42) and GLM-4.7 (41). It leads on inputs & features and 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, Gemini 2.5 Pro Preview 06-05 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); Gemini 2.5 Pro Preview 06-05 costs $1.22 input / $9.75 output per million tokens (median across 4 API providers). 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 $3.35 for Gemini 2.5 Pro Preview 06-05 (3.5× 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, Gemini 2.5 Pro Preview 06-05 has not been scored yet and Qwen3 235B-A22B Thinking 2507 has an ECI of 143.8.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7, Gemini 2.5 Pro Preview 06-05 and Qwen3 235B-A22B Thinking 2507 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?

Gemini 2.5 Pro Preview 06-05 has the largest context window at 1,048,576 tokens, against 262,144 for Qwen3 235B-A22B Thinking 2507 and 204,800 for GLM-4.7. Maximum output per response: GLM-4.7 up to 131,072, Gemini 2.5 Pro Preview 06-05 up to 65,536, Qwen3 235B-A22B Thinking 2507 up to 81,920 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; Gemini 2.5 Pro Preview 06-05 accepts text, images, PDFs and audio; Qwen3 235B-A22B Thinking 2507 accepts text. Gemini 2.5 Pro Preview 06-05 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; Gemini 2.5 Pro Preview 06-05 is proprietary.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025; Gemini 2.5 Pro Preview 06-05 came out Jun 5, 2025. Knowledge cutoff: GLM-4.7 Apr 2025, Gemini 2.5 Pro Preview 06-05 Jan 31, 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.