TokenMix Research Lab · 2026-04-22

GLM-4.7 Review: Zhipu's Solid Mid-Tier Before GLM-5.1 (2026)

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

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:

  1. Cost — ~30% cheaper than GLM-5.1 per token
  2. Latency — smaller active parameters, faster response
  3. Stability — mature production deployment, fewer early-release issues

When to prefer GLM-4.7:

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 .20 $0.48
GLM-5.1 $0.45 .80 $0.72
Qwen3-Max $0.78 $3.90 .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):

Not transformative at small scale. At 10× volume (5B input), savings grow to ,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

By TokenMix Research Lab · Updated 2026-04-23