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Tier B — Production
Runs in:CNMade in:China
Z.ai (GLM / Zhipu)

GLM-5 Turbo

Tier B — Production · 205K tokens

Tokonomix Editorial Team·Reviewed by Mes Kalkan··

GLM-5 Turbo is the speed-oriented variant of the GLM-5 generation on z.ai. "Turbo" GLM tiers historically trade a little peak quality for lower latency and cost, making them the throughput option within a generation.

Section 01

Speed analysis

Latency measured across all benchmark runs. P50 (median) and P95 (95th percentile) give a realistic picture of response speed under normal and peak load.

P50 latency (median)P95 latency104 runs
1340888016420239603150008-1209-07ms
Section 02

Quality scores

How this model compares to the rest of the field on each prompt category, from a pairwise fit over the same prompts. The raw judge score sits underneath each number.

49%
Coding
judge mean 71
31%
Creative
judge mean 50
44%
Factual
judge mean 57
24%
Reasoning
judge mean 27

Win rate per category: how often this model beats a field-average model on a prompt from that category. 50% is average, not a failing grade. It is not a percentage of correct answers.

Section 03

Pricing history

Direct provider rates per million tokens, plus a typical-conversation cost estimate.

💰
API rates — GLM-5 Turbo
$1.20 per 1M input tokens
$4.00 per 1M output tokens
≈ $0.0015 per typical conversation (800 tokens)
Input vs output price (per 1M tokens)
per 1M input tokens$1.20
per 1M output tokens$4.00

Pricing over time

Input & output per 1M tokens · step-line = price changes

$1.20

input / 1M

— stable

$4.00

output / 1M

— stable

2026-07-122026-08-092026-09-06
Input
Output
Price change
⟳ synced weekly
Section 04

Tokens per second

Throughput in tokens per second, derived from measured P50 latency. Higher is better; fluctuations track provider-side load.

Throughput (tokens / s)27 / avg 73
14821

Estimated from P50 latency × 200 output tokens — the absolute number depends on this assumption; the trend is what matters.

Section 05

Capabilities

jsonnotes: GLM emits a non-standard reasoning_content field beside content; read content for the answer.toolsreasoningprice note: No published price on 2026-07-06
Section 06

Availability

Availability

No measurements yet

We haven't recorded enough API calls to show availability stats for this model. Data appears once the model starts receiving live traffic.

Section 07

Tokonomix benchmark verdicts

⚖️
Endorsed by 1 judge
Independent LLM judges evaluated this model on our weekly intelligence tests
claude-sonnet-4-555/100 · 32 runs
14 correct1 partial17 wrong44% accuracy
2026-09-06

GLM-5 Turbo adds JSON, tools, and reasoning capabilities

GLM-5 Turbo has expanded its feature set with the addition of JSON mode, tool calling, and reasoning capabilities, marking a significant evolution in the model's functionality. These new capabilities bring the model in line with modern LLM expectations for structured outputs and agentic workflows. The additions of JSON mode and tools support enable developers to build more reliable integrations and multi-step applications. The reasoning capability suggests enhanced analytical performance for complex tasks. However, no benchmark performance data is available for this window, making it impossible to assess the model's actual capabilities in areas like accuracy, speed, or cost-effectiveness. Without comparative metrics on language understanding, code generation, or reasoning quality, users cannot evaluate how GLM-5 Turbo stacks up against alternatives. The lack of benchmark results also prevents verification of whether these new features perform competitively. Users interested in GLM-5 Turbo should wait for comprehensive benchmark data before making integration decisions, as feature availability alone doesn't indicate production readiness or competitive performance.

Quality

Latency p50

Test runs

0

JSON mode added Tool calling support added Reasoning capability introduced No benchmark data available
Section 08

Full model profile

GLM-5 Turbo: the speed-tuned GLM-5 variant

GLM-5 Turbo is the speed-oriented variant of the GLM-5 generation on z.ai. "Turbo" GLM tiers historically trade a little peak quality for lower latency and cost, making them the throughput option within a generation.

z.ai had not published a public price for GLM-5 Turbo at registration (July 2026), so we store no billing figures. Turbo tiers are usually cheaper than the base model, but confirm the actual rate on z.ai before activating.

We registered it with a large (~200K-token) context window as a provisional figure; GLM-5-generation documentation is thin, so confirm the exact window on z.ai before relying on it.

Architecture & training signals

GLM-5 Turbo is a latency/throughput-oriented member of the GLM-5 generation from Zhipu AI. Detailed public documentation is limited as of July 2026. We treat it as a fast reasoning-capable chat model with tool and JSON support over an OpenAI-compatible endpoint. Like the rest of the GLM line, it returns a non-standard reasoning_content field alongside content in its OpenAI-compatible responses; integrations should read content for the final answer and treat reasoning_content as an optional trace.

Where it shines

  • Higher-throughput or latency-sensitive tasks within the GLM-5 generation.
  • Bulk processing where speed and cost beat squeezing out the last few points of quality.
  • Tool-calling and JSON output.

Where it falls short

  • No published price at registration — confirm before activating.
  • Likely a small quality trade versus GLM-5 base; verify if quality is critical.
  • Non-EU hosting.

Real-world use cases

  • High-volume classification, extraction or drafting where latency matters.
  • Interactive experiences that need faster responses.
  • Agentic loops with many short calls.

Tokonomix benchmark snapshot

GLM-5 Turbo is newly registered on Tokonomix and not yet activated, so we have not run it through our weekly intelligence test or speed benchmark. There are no Tokonomix scores to report yet — and we will not invent any.

When it goes live, it enters the same weekly harness as every other model: identical prompts, an independent cross-family judge, and reproducible latency and cost measurements. Until then, treat the pricing and capability notes on this page as the vendor-published starting point, not as measured Tokonomix results.

EU privacy & data residency

GLM-5 Turbo is built by Zhipu AI (z.ai), a China-headquartered lab, and is served from non-EU infrastructure. This is important to state plainly: routing a prompt to this model is not an EU-data-residency or GDPR-sovereign choice, and Tokonomix will never tag it as one.

If your use case requires data to stay within the EU, pick a model whose provider is EU-hosted (for example our OVH or Azure-EU routes) rather than a GLM model. Tokonomix keeps z.ai out of every EU-only / sovereign routing set by design. Use GLM where its capability or price is the priority and cross-border processing is acceptable for that workload.

Verdict & alternatives

GLM-5 Turbo is the throughput option of the GLM-5 generation. Pick it when speed and cost matter more than the last increment of quality — but confirm its unpublished price first. For maximum quality use GLM-5 or GLM-5.2; for free throughput, the GLM Flash tiers.

Last automated test
Sep 7, 2026 · 02:03 UTC · Speed benchmark
P50 latency
7298 ms
P95 latency
7778 ms
Errors
0 / 6 runs
Last reviewed by Tokonomix Team·July 8, 2026