Models / GLM 5 Turbo

Z.ai

GLM 5 Turbo

17th most intelligent of the 40 models priced $1–3 per million tokens. Mid-field among models available today on every use case measured so far.

Price per million tokens
$1.20 in · $4.00 out
Typical host on OpenRouter, 7 Oct 2026 · compare prices
Speed
Not measured
Intelligence Index
26.6
Artificial Analysis
Spring Prompt overall
Not ranked yet
needs our benchmarks and two groups of results
Developer
Z.ai, based in China
Weights not published
Released
Not recorded
202,752 tokens of context

Where it stands among the models you could choose

Ranked only among models available today (those you can call through OpenRouter), in the groups people choose between: the same price band, similar intelligence, the same speed, developers based in the same place. Retired models are left out.

AmongIntelligence IndexSpring Prompt overallPriceSpeed
Models available today 57th of 195Claude Opus 5.5 – 153rd of 221Mistral Nemo –
Models priced $1–3 per million tokens 17th of 40Muse Spark 1.3 – the group –
Models with similar intelligence the group – 22nd of 35Solar Pro 4 –
Models from developers based in China 20th of 84MiMo-V2.6-Pro – 85th of 96Qwen3.5-9B –

The name under each rank is the leader of that group. Price is the developer's list price (or the typical OpenRouter host where we haven't read one) for three input tokens to one output; intelligence and speed are from Artificial Analysis (data sourced from Artificial Analysis); "similar intelligence" means within 4 points on its Intelligence Index. Developer locations are where each company is based, not where a model is served. Groups under 3 models are not ranked.

How good is it, and for what?

Each use case ranks the available models its benchmarks measured, then those priced $1–3 per million tokens. The bar shows where it falls in that field, best to the right. Open a row for the results behind it.

Product listingsTurning a sparse product feed and photos into listings that can go live Not measured
  • CatalogBench: has not measured this model.
Decks from an analysisTurning a finished analysis into a deck you could present as it is Not measured
  • DeckBench: has not measured this model.
Marketing planningPlanning a year of ad spend without overspending Not measured
  • ROASBench: has not measured this model.
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls Not measured
  • tau2-bench: has not measured this model.
  • Berkeley Function Calling Leaderboard (BFCL) V4: has not measured this model.
  • OpenHands Index: has not measured this model.
  • Microsoft STATE-Bench: has not measured this model.
  • Artificial Analysis: has not measured this model.
  • Vending-Bench 2: has not measured this model.
Professional workReal tasks from banking, consulting and law, business documents and freelance projects Not measured
  • APEX-Agents: has not measured this model.
  • GDP.pdf: has not measured this model.
  • Remote Labor Index: has not measured this model.
Reasoning and knowledgeHard questions across science, maths and general knowledge 70th of 195 available · 24th of 40 at its price
BenchmarkGLM 5 TurboRank among availableBest available
Artificial AnalysisArtificial Analysis: Artificial Analysis Intelligence Index · reported 26.6 57th of 195 Claude Opus 5.5 57.6
Artificial AnalysisArtificial Analysis: Humanity's Last Exam · reported 27.8% 73rd of 194 Claude Opus 5.5 61.4%
Artificial AnalysisArtificial Analysis: GPQA Diamond · reported 84.7% 70th of 185 GPT-6 Astra 96.3%
WritingWhat people prefer in blind comparisons, and judged writing quality Not measured
  • Arena (formerly LMArena): has not measured this model.
  • UGI Leaderboard: has not measured this model.
Sticking to the factsSummarising without inventing things, and factual answers Not measured
  • Vectara Hallucination Leaderboard: has not measured this model.
  • Arena (formerly LMArena): has not measured this model.
  • SimpleQA Verified (Epoch AI): has not measured this model.
Speed under pressureGood decisions against a real clock (fast chess) Not measured
  • BulletBench: has not measured this model.

Against the alternatives

The models you would most likely weigh it against: the leaders of the groups above.

GLM 5 TurboMuse Spark 1.3
most intelligent at $1–3 per million tokens
Solar Pro 4
cheapest with similar intelligence
Claude Opus 5.5
most intelligent available today
MiMo-V2.6-Pro
most intelligent from China
Price per million tokens $1.90 $2.00$0.16$8.00$0.54
Tokens a second – 1371009740
Intelligence Index 26.6 48.128.257.646.3
Spring Prompt overall – 66–82–
Rank among available models, by use case
Product listings – 9th–6th–
Decks from an analysis – 13th–5th–
Marketing planning – 12th–5th–
Agents and tool use – 9th64th2nd15th
Professional work – 8th–3rd–
Reasoning and knowledge 70th of 195 8th59th1st10th
Writing – 7th121st4th18th
Sticking to the facts – 10th129th6th9th
Speed under pressure – 18th–––

Shaded figures are better than GLM 5 Turbo's. A dash means no result.

Where it has been measured

Every result

7 published results from 1 source, each in the source's own units, with the configuration that produced it.

Artificial Analysis · reported by Artificial Analysis · 7 results
MeasureValueRankConfigurationDated
Artificial Analysis: Artificial Analysis Intelligence Indexindex score, higher is better 26.6 129 of 402 GLM 5 Turbo 7 Oct 2026
Artificial Analysis: GPQA Diamond% of questions, higher is better 84.7% 123 of 359 GLM 5 Turbo 7 Oct 2026
Artificial Analysis: Humanity's Last Exam% of questions, higher is better 27.8% 149 of 400 GLM 5 Turbo 7 Oct 2026
Artificial Analysis: IFBench% of instructions, higher is better 73.2% 39 of 288 GLM 5 Turbo 7 Oct 2026
Artificial Analysis: Long-context reasoning (AA-LCR)% of questions, higher is better 71.7% 172 of 388 GLM 5 Turbo 7 Oct 2026
Artificial Analysis: Terminal-Bench Hard% of tasks, higher is better 33.3% 88 of 282 GLM 5 Turbo 7 Oct 2026
Artificial Analysis: τ²-bench telecom% of tasks, higher is better 98.5% 3 of 286 GLM 5 Turbo 7 Oct 2026

Not shown: Not business work, and a blend: read the parts for any one task.