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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 latency57 runs
1293884516397239483150007-0807-22ms
Section 02

Quality scores

Evaluation results from judge-model scoring across diverse task categories. Scores reflect coherence, accuracy and instruction-following.

90
Coding
45
Creative
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

2026-07-122026-07-192026-07-19
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)49 / avg 70
1545

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

How often this model answers when we call it — measured across real API requests and live tests over the last 30 days. This is separate from quality: these numbers only tell you whether the model responds, not how good the answer is.

Last 7 days

Last 30 days

100.0%

n=1

Median response time

6,573ms

n=1

Based on 178 measurements over the last 30 days.

Technical details

Only live API calls and live-test requests count — internal probes and benchmark runs are excluded.

Calls with a custom API key (BYOK) are excluded: those failures are key-specific, not a sign of model downtime.

Failed calls are NOT included in quality scores — quality is measured on successful responses only. Availability and quality are independent signals.

Median response time (p50) across successful calls with a recorded duration. Outliers (very slow or very fast calls) pull the median less than the average.

Total calls (30d)

1

OK responses (30d)

1

Total calls (7d)

0

OK responses (7d)

0

Section 07

Tokonomix benchmark verdicts

⚖️
Endorsed by 1 judge
Independent LLM judges evaluated this model on our weekly intelligence tests
claude-sonnet-4-557/100 · 6 runs
2 correct1 partial3 wrong33% accuracy
2026-07-19

GLM-5 Turbo adds tool support while maintaining baseline performance

GLM-5 Turbo has expanded its capabilities with the addition of JSON mode, tool calling, and reasoning features in this benchmark window. Performance metrics show general stability across most evaluated tasks, with the model maintaining its previous positioning in the competitive landscape. The model continues to demonstrate solid coding abilities and mathematical reasoning comparable to its initial debut. Its performance on standard benchmarks remains consistent, showing neither significant gains nor regressions in core competencies. The newly added tool calling and structured output capabilities extend the model's practical utility for application developers, though benchmark data on these specific features is still limited. GLM-5 Turbo appears positioned as a capable mid-tier option for developers seeking a balance of reasoning, coding, and now function-calling abilities. The stability in performance metrics suggests reliable iteration from Zhipu, though the model has not made dramatic leaps in benchmark standings. Users evaluating this model should consider it for applications requiring multi-modal capability support rather than expecting cutting-edge performance in any single domain. The addition of tool support makes it more viable for agent-based workflows and structured data extraction tasks.

Quality

Latency p50

Test runs

0

Added tool calling support JSON mode now available Performance remains stable
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
Jul 22, 2026 · 08:03 UTC · Speed benchmark
P50 latency
4056 ms
P95 latency
4150 ms
Errors
0 / 6 runs
Last reviewed by Tokonomix Team·July 8, 2026