TokenMix Research Lab · 2026-04-22
GLM-4.7 Review: Zhipu's Solid Mid-Tier Before GLM-5.1 (2026)
Last Updated: 2026-04-23
Author: TokenMix Research Lab
GLM-4.7 is Zhipu AI (Z.ai)'s previous-generation flagship before GLM-5.1's SWE-Bench Pro SOTA win in April 2026. It remains production-available via tokenmix and gateway providers, positioned as a cheaper, lighter alternative to 5.1 for workloads that don't need the new SOTA coding capability. This review covers where GLM-4.7 still makes sense (cost optimization, simpler deployment, mature stability), how it compares to peer Chinese open models, and practical routing strategies combining 4.7 and 5.1. TokenMix.ai routes GLM-4.7 through OpenAI-compatible endpoint alongside GLM-5.1 for teams running tiered routing.
Table of Contents
- Confirmed vs Speculation
- Why GLM-4.7 Still Matters After 5.1
- Benchmarks vs GLM-5.1 and Peers
- Pricing Advantage at Scale
- Tiered Routing: 4.7 + 5.1 Together
- FAQ
Confirmed vs Speculation
| Claim | Status |
|---|---|
| GLM-4.7 available via Z.ai + gateways | Confirmed |
| Open weights (MIT license) | Confirmed (consistent with Z.ai MIT policy) |
| Smaller/faster than GLM-5.1 | Confirmed |
| Matches GLM-5.1 on simple tasks | Yes — quality gap only visible on complex coding |
| Still Zhipu's primary model | No — 5.1 is now flagship |
| Z.ai not named in distillation allegations | Confirmed |
Why GLM-4.7 Still Matters After 5.1
Three reasons to keep GLM-4.7 in routing:
- Cost — ~30% cheaper than GLM-5.1 per token
- Latency — smaller active parameters, faster response
- Stability — mature production deployment, fewer early-release issues
When to prefer GLM-4.7:
- High-volume chat where GLM-5.1's SOTA coding isn't needed
- Customer service / support bot workloads
- Content generation at scale
- Budget-constrained production with quality floor acceptable
- Fallback when GLM-5.1 is rate-limited
Benchmarks vs GLM-5.1 and Peers
| Benchmark | GLM-4.7 | GLM-5.1 | Qwen3-Max | DeepSeek V3.2 |
|---|---|---|---|---|
| MMLU | 87% | 89% | 88% | 88% |
| GPQA Diamond | 78% | 82% | 86% | 79% |
| HumanEval | 90% | 92% | 92% | 90% |
| SWE-Bench Verified | ~72% | ~78% | ~70-75% | ~72% |
| SWE-Bench Pro | ~60% | 70% | ~58% | ~60% |
| Chinese tasks | Strong | Strong | Strongest | Strong |
GLM-4.7 trails 5.1 by 2-10pp depending on benchmark. For most production workloads, the quality gap is imperceptible. Only coding-intensive tasks really benefit from 5.1's improvements.
Pricing Advantage at Scale
| Model | Input $/MTok | Output $/MTok | Blended (80/20) |
|---|---|---|---|
| GLM-4.7 | $0.30 | $1.20 | $0.48 |
| GLM-5.1 | $0.45 | $1.80 | $0.72 |
| Qwen3-Max | $0.78 | $3.90 | $1.40 |
| DeepSeek V3.2 | $0.14 | $0.28 | $0.17 |
At $0.48 blended, GLM-4.7 sits between DeepSeek V3.2 (cheapest) and Qwen3-Max. Saves ~30% vs GLM-5.1 — compounds at scale.
Monthly cost example (500M input / 125M output):
- GLM-4.7: $240
- GLM-5.1: $360
- Savings: $120/mo
Not transformative at small scale. At 10× volume (5B input), savings grow to $1,200/mo.
Tiered Routing: 4.7 + 5.1 Together
Recommended production routing with both GLM variants:
routing:
complex_coding: # SWE-bench-intensive tasks
model: z-ai/glm-5.1
standard_chat: # Daily chat, summarization, general Q&A
model: z-ai/glm-4.7
high_volume_bulk: # Batch processing, tagging
model: deepseek/deepseek-v3.2 # even cheaper
Routing heuristic: task complexity score → tier. Simple heuristics work (prompt length + keyword detection for "code", "debug", "implement"). TokenMix.ai's gateway offers this routing built-in.
Monthly cost reduction typically 25-40% vs single-model "always GLM-5.1" routing.
FAQ
Should I migrate from GLM-4.7 to GLM-5.1?
Depends. If your workload has meaningful coding component, yes — GLM-5.1's 70% SWE-Bench Pro is a real upgrade. For chat/content/summarization workloads, GLM-4.7 is sufficient and cheaper.
Is GLM-4.7 still being maintained?
Yes, Z.ai maintains multiple generations simultaneously. Expect 4.7 to remain available 12-24 months post-5.1 release.
Can I self-host GLM-4.7?
Yes with appropriate hardware. GLM-4.7 weights under MIT license. Minimum: 8× A100 for fp16 inference. Via TokenMix.ai is usually simpler for < 100M tokens/month.
Is Z.ai affected by the April 2026 distillation war?
No. Z.ai (GLM maker) was not named in the Anthropic/OpenAI/Google April 2026 allegations. Z.ai is one of the cleanest Chinese AI procurement choices.
How do I try GLM-4.7 fastest?
TokenMix.ai free tier + OpenAI SDK with model="z-ai/glm-4.7". Or Z.ai direct platform.
What about GLM-5 (without .1 suffix)?
GLM-5 was Z.ai's initial 5-series release. GLM-5.1 is the April 2026 upgrade with SWE-Bench Pro SOTA win. See GLM-5.1 Review.
Sources
- Z.ai Platform
- GLM-5.1 Review — TokenMix
- GLM-5 Review — TokenMix
- OpenAI/Anthropic/Google vs DeepSeek — TokenMix
- GPT-5.5 Migration Checklist — TokenMix
By TokenMix Research Lab · Updated 2026-04-23