GLM-5V-Turbo vs Qwen3.7-Plus
Qwen3.7-Plus leads the LLM Stats Score 42.6 to 30.3. Qwen3.7-Plus is 3.4x cheaper per token.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.7-Plus leads the overall LLM Stats Score 42.6 to 30.3, ranking #46 overall.
In the 4 individual benchmarks reported for both models, Qwen3.7-Plus wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.7-Plus is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7-Plus also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5V-Turbo
- you want predictable pricing at $1.20/M input and $4.00/M output
Choose Qwen3.7-Plus
- overall performance matters — it scores 42.6 and ranks #46 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 3.4x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped May 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for GLM-5V-Turbo · 70 for Qwen3.7-Plus
GLM-5V-Turbo outperforms in 1 benchmarks (Claw-Eval), while Qwen3.7-Plus is better at 3 benchmarks (AndroidWorld, MMSearch-Plus, SimpleVQA).
Qwen3.7-Plus shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5V-Turbo ($1.20/1M tokens) is 3.8x more expensive than Qwen3.7-Plus ($0.32/1M tokens).
For output processing, GLM-5V-Turbo ($4.00/1M tokens) is 3.1x more expensive than Qwen3.7-Plus ($1.28/1M tokens).
In conclusion, GLM-5V-Turbo is more expensive than Qwen3.7-Plus.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.7-Plus accepts 1,000,000 input tokens compared to GLM-5V-Turbo's 200,000 tokens. GLM-5V-Turbo can generate longer responses up to 128,000 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both GLM-5V-Turbo and Qwen3.7-Plus support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5V-Turbo
Qwen3.7-Plus
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5V-Turbo was released on 2026-04-02, while Qwen3.7-Plus was released on 2026-05-31.
Qwen3.7-Plus is 2 months newer than GLM-5V-Turbo.
Apr 2, 2026
5 months ago
May 31, 2026
3 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5V-Turbo is available from ZAI. Qwen3.7-Plus is available from Together, Fireworks.
GLM-5V-Turbo
Qwen3.7-Plus
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5V-Turbo and Qwen3.7-Plus side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5V-Turbo vs Qwen3.7-Plus.