ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-5 vs Qwen3.7 Plus vs Qwen3.5 397B-A17B

Qwen3.7 Plus comes out ahead, 70 to 65 and 55 on our weighted score, and it is the cheaper option too.

  1. Z.ai (Zhipu)

    GLM-5

    Released Feb 12, 2026

    55/100
    • ECI145.8
    • Price$1.00 / $3.20
    • Context205K
    Full specs Remove GLM-5
  2. Our pick

    Alibaba (Qwen)

    Qwen3.7 Plus

    Released Jun 2, 2026

    70/100
    • ECI147.4
    • Price$0.40 / $1.60
    • Context1M
    Full specs Remove Qwen3.7 Plus

  3. Alibaba (Qwen)

    Qwen3.5 397B-A17B

    Released Feb 15, 2026

    65/100
    • ECI146.7
    • Price$0.60 / $3.60
    • Context262K
    Full specs Remove Qwen3.5 397B-A17B
01 — Verdict

Qwen3.7 Plus is our pick

Qwen3.7 Plus is the better all-round choice, scoring 70/100 against Qwen3.5 397B-A17B (65) and GLM-5 (55). It leads on price and context window. Qwen3.5 397B-A17B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.7 PlusCapabilities Index (ECI): Qwen3.7 Plus 147.4 · Qwen3.5 397B-A17B 146.7 · GLM-5 145.8
  • Lowest priceQwen3.7 PlusQwen3.7 Plus $0.70 · Qwen3.5 397B-A17B $1.35 · GLM-5 $1.55 per 1M tokens (3:1 blend)
  • Longest contextQwen3.7 PlusQwen3.7 Plus 1,000,000 · Qwen3.5 397B-A17B 262,144 · GLM-5 204,800 tokens
  • Widest inputsQwen3.5 397B-A17BGLM-5: Text · Qwen3.7 Plus: Text, Images, Video · Qwen3.5 397B-A17B: Text, Images, Audio, Video
  • Self-hostingGLM-5 and Qwen3.5 397B-A17BPublishes downloadable weights
How the score is built
MeasureWeightGLM-5Qwen3.7 PlusQwen3.5 397B-A17B
CapabilityCapabilities Index (ECI)50%737574
Price25%415744
Inputs & features15%358090
Context window10%326037
Overall100%55/10070/10065/100
02 — Side by side

Every spec in one table

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

GLM-5 vs Qwen3.7 Plus vs Qwen3.5 397B-A17B specifications side by side
SpecificationGLM-5Z.ai (Zhipu)Qwen3.7 PlusAlibaba (Qwen)Qwen3.5 397B-A17BAlibaba (Qwen)
Capability
Capabilities Index (ECI)145.8147.4 (best)146.7
ECI rank#74 of 148#61 of 148 (best)#67 of 148
GPQA DiamondGraduate-level science questions87.8%87.9% (best)86.4%
FrontierMath Tiers 1–3Research-level mathematics—34.4% (best)31.2%
OTIS Mock AIME 2024–2025Competition mathematics80.0%93.3% (best)88.9%
SWE-bench VerifiedFixing real GitHub issues72.1%——
Price per million tokens
Input$1.00$0.40 (best)$0.60
Output$3.20$1.60 (best)$3.60
Cached input$0.20$0.04 (best)—
Blended (3:1)$1.55$0.70 (best)$1.35
Long-context rateSame rateOver 256K: $1.20 / $4.80Same rate
Price sourceOfficial Z.AI APIOfficial Alibaba APIOfficial Alibaba API
Limits
Context window204,800 tokens1,000,000 tokens (best)262,144 tokens
Max output131,072 tokens (best)64,000 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoYes
VideoNoYesYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenProprietaryOpen
API model IDglm-5qwen3.7-plusqwen3.5-397b-a17b
API providers27 (best)2523
ReleasedFeb 12, 2026Jun 2, 2026Feb 15, 2026
Knowledge cutoff—Apr 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$16.40
  • Qwen3.7 Plus$7.20
  • Qwen3.5 397B-A17B$13.20
04 — Questions

Which should you choose?

Which is better: GLM-5, Qwen3.7 Plus or Qwen3.5 397B-A17B?

Qwen3.7 Plus is the better all-round choice, scoring 70/100 against Qwen3.5 397B-A17B (65) and GLM-5 (55). It leads on price and context window. Qwen3.5 397B-A17B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-5, Qwen3.7 Plus or Qwen3.5 397B-A17B?

Qwen3.7 Plus is cheaper at $0.40 input / $1.60 output per million tokens (official Alibaba API price). Qwen3.5 397B-A17B costs $0.60 input / $3.60 output per million tokens (official Alibaba API price); GLM-5 costs $1.00 input / $3.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for Qwen3.7 Plus versus $1.35 for Qwen3.5 397B-A17B (1.9× as much) and $1.55 for GLM-5 (2.2× as much).

Which scores higher on benchmarks?

Qwen3.7 Plus scores higher on the Capabilities Index (ECI): Qwen3.7 Plus 147.4 (#61 of 148), Qwen3.5 397B-A17B 146.7 (#67 of 148) and GLM-5 145.8 (#74 of 148). The confidence ranges of the top two overlap (145.7–148.9 vs 144.8–148.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.7 Plus 87.9%, GLM-5 87.8%, Qwen3.5 397B-A17B 86.4%; OTIS Mock AIME 2024–2025 — Qwen3.7 Plus 93.3%, Qwen3.5 397B-A17B 88.9%, GLM-5 80.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.7 Plus and Qwen3.5 397B-A17B yet, so there is no like-for-like coding score. On overall capability, Qwen3.7 Plus 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?

Qwen3.7 Plus has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3.5 397B-A17B and 204,800 for GLM-5. Maximum output per response: GLM-5 up to 131,072, Qwen3.7 Plus up to 64,000, Qwen3.5 397B-A17B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GLM-5 accepts text; Qwen3.7 Plus accepts text, images and video; Qwen3.5 397B-A17B accepts text, images, audio and video. Qwen3.5 397B-A17B handles the widest range of inputs.

Are any of these open source?

GLM-5 and Qwen3.5 397B-A17B publishes its weights and can be self-hosted; Qwen3.7 Plus is proprietary.

Which is newer?

Qwen3.7 Plus is the newest, released Jun 2, 2026. Qwen3.5 397B-A17B came out Feb 15, 2026; GLM-5 came out Feb 12, 2026. Knowledge cutoff: Qwen3.7 Plus 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 Oct 4, 2026.

05 — Keep comparing

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