GLM-5 (Reasoning)
Context 200K tokens
Top 5 cheapest providers (Adjusted $/task)
The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.
Within the active global provider, residency and confidentiality filters.
| # | Provider | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | SiliconFlowvia OpenRouter — Price via OpenRouter: OpenRouter's price for SiliconFlow's endpoint (https://openrouter.ai/z-ai/glm-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for SiliconFlow's endpoint (https://openrouter.ai/z-ai/glm-5/providers), collected 2026-11-03. | $0.950 | $2.55 | |
| 2 | Venicevia OpenRouter — Price via OpenRouter: OpenRouter's price for Venice's endpoint (https://openrouter.ai/z-ai/glm-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Venice's endpoint (https://openrouter.ai/z-ai/glm-5/providers), collected 2026-11-03. | $1.00 | $3.20 | |
| 3 | Novitavia OpenRouter — Price via OpenRouter: OpenRouter's price for Novita's endpoint (https://openrouter.ai/z-ai/glm-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Novita's endpoint (https://openrouter.ai/z-ai/glm-5/providers), collected 2026-11-03. | $1.00 | $3.20 | |
| 4 | Z.AIvia OpenRouter — Price via OpenRouter: OpenRouter's price for Z.AI's endpoint (https://openrouter.ai/z-ai/glm-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Z.AI's endpoint (https://openrouter.ai/z-ai/glm-5/providers), collected 2026-11-03. | $1.00 | $3.20 | |
| 5 | Google Vertex AIdirect — Direct price: Google Vertex AI's own price list (https://cloud.google.com/vertex-ai/generative-ai/pricing), collected 2026-11-03. | direct — Direct price: Google Vertex AI's own price list (https://cloud.google.com/vertex-ai/generative-ai/pricing), collected 2026-11-03. | $1.00 | $3.20 |
Composite
4 of 7 inputs · 3 from the model family6 radar axes: DesignArena's two boards share one34.0
AA Coding v4.x —Coding Agent v1.4 —AA Intelligence (est.) 17.6AA Agentic —Epoch ECI 145.8Software ECI 148.6DesignArena —/1123
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
13 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
- Epoch ECI · attached
- Software ECI · attached
- DesignArena Full-Stack · attached
Agentic
APEX-Agents-AA2814.5%
APEX-Agents-AA published 2026-09-10 → · Published board — Tests professional-service tasks that require agents to produce locally graded deliverables.
Terminal-Bench Hard (AA)9043.2%
Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
τ²-Bench Airline (OpenRouter run)7375.3%
τ²-Bench Airline (OpenRouter run) published 2026-09-15 → · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
Coding
DesignArena Full-Stack331,123 Elo
DesignArena Full-Stack published 2026-11-03 → · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.
Efficiency
GPQA Diamond (OpenRouter run) — measured cost per task31$0.071
GPQA Diamond (OpenRouter run) — measured cost per task published 2026-09-15 → · Published board — Mean USD OpenRouter actually spent per task while running GPQA Diamond for this configuration.
τ²-Bench Airline (OpenRouter run) — measured cost per task61$0.036
τ²-Bench Airline (OpenRouter run) — measured cost per task published 2026-09-15 → · Published board — Mean USD OpenRouter actually spent per task while running τ²-Bench Airline for this configuration.
Instruction-following
IFBench (AA single-turn)8972.3%
IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)8029.3%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index800.27
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.17775.7%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Science
CritPt (AA)692.0%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)7082.0%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
GPQA Diamond (OpenRouter run)4078.6%
GPQA Diamond (OpenRouter run) published 2026-09-15 → · Published board — Graduate-level science questions that resist retrieval and reward careful reasoning. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
Tool-use
τ²-Bench Telecom (AA)9898.2%
τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.
Missing coverage · 306 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.
Variants / reasoning settings
Artificial Analysis snapshot 2026-11-03 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| GLM-5 (Non-reasoning) | — | 11.2est. |
| GLM-5 (Reasoning) | — | 17.6est. |
Token offers by platform · 8 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
8 offers within the active global filters, 3 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.
OpenRouter (6)
Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/z-ai/glm-5/providers, collected 2026-11-03.
| SiliconFlow | globalsiliconflow/fp8 | $0.950 raw in $/1M | $2.55 raw out $/1M | |
| Venice | globalvenice/fp8 | $1.00 raw in $/1M | $3.20 raw out $/1M | |
| Novita | globalnovita/fp8 | $1.00 raw in $/1M | $3.20 raw out $/1M | |
| Z.AI | globalz-ai/fp8 | $1.00 raw in $/1M | $3.20 raw out $/1M | |
| Venice | globalvenice/turbo | $1.20 raw in $/1M | $4.00 raw out $/1M | |
| Amazon Bedrock | globalamazon-bedrock | $1.00 raw in $/1M | $3.20 raw out $/1M |
Google Vertex AI (1)
Direct prices from Google Vertex AI's own price list. Source: cloud.google.com/vertex-ai/generative-ai/pricing, collected 2026-11-03.
| Google Vertex AI | global | $1.00 raw in $/1M | $3.20 raw out $/1M |
AWS Bedrock (1)
Direct prices from AWS Bedrock's own price list. Source: aws.amazon.com/bedrock/pricing/, collected 2026-11-03.
| AWS Bedrock | eu-central-1EU | $1.20 raw in $/1M | $3.84 raw out $/1M |