glm-5| Provider | Input, $ per 1M | Output, $ per 1M | In our data since |
|---|---|---|---|
NanoGPT
zai-org/glm-5
|
$0.3 | $2.55 | 31 Jul 2026 |
| crof | $0.48 | $1.9 | 31 Jul 2026 |
| ZenMux | $0.58 | $2.6 | 31 Jul 2026 |
| 302.AI | $0.6 | $2.6 | 31 Jul 2026 |
| CrossModel | $0.6 | $3 | 31 Jul 2026 |
| DeepInfra | $0.6 | $2.08 | 31 Jul 2026 |
| GMI Cloud | $0.6 | $1.92 | 31 Jul 2026 |
| Kilo Code | $0.72 | $2.3 | 31 Jul 2026 |
| LLM Gateway | $0.72 | $2.3 | 31 Jul 2026 |
| dinference | $0.75 | $2.4 | 31 Jul 2026 |
| meganova | $0.8 | $2.56 | 31 Jul 2026 |
OpenRouter
openrouter/z-ai/glm-5
|
$0.8 | $2.56 | 31 Jul 2026 |
| hyper | $0.86 | $2.784 | 1 Aug 2026 |
| alibaba-cn | $0.86 | $3.15 | 31 Jul 2026 |
| Baseten | $0.95 | $3.15 | 31 Jul 2026 |
| FastRouter | $0.95 | $3.15 | 31 Jul 2026 |
OpenRouter
z-ai/glm-5
|
$0.95 | $2.55 | 31 Jul 2026 |
| SiliconFlow | $0.95 | $2.55 | 31 Jul 2026 |
| opencode-go | $1 | $3.2 | 31 Jul 2026 |
| novita-ai | $1 | $3.2 | 31 Jul 2026 |
| siliconflow-cn | $1 | $3.2 | 31 Jul 2026 |
| zai | $1 | $3.2 | 31 Jul 2026 |
| tensorx | $1 | $3.2 | 2 Aug 2026 |
| Abacus.AI | $1 | $3.2 | 31 Jul 2026 |
| DigitalOcean Gradient AI | $1 | $3.2 | 31 Jul 2026 |
| Google Vertex AI | $1 | $3.2 | 31 Jul 2026 |
| Hugging Face | $1 | $3.2 | 31 Jul 2026 |
| Merge Gateway | $1 | $3.2 | 31 Jul 2026 |
| Nebius Token Factory | $1 | $3.2 | 31 Jul 2026 |
| OpenCode Zen | $1 | $3.2 | 31 Jul 2026 |
| OrcaRouter | $1 | $3.2 | 31 Jul 2026 |
| Poe | $1 | $3.2 | 31 Jul 2026 |
| Together AI | $1 | $3.2 | 31 Jul 2026 |
| Vercel | $1 | $3.2 | 31 Jul 2026 |
| Z.ai | $1 | $3.2 | 31 Jul 2026 |
| Cortecs | $1.08 | $3.44 | 31 Jul 2026 |
NanoGPT
TEE/glm-5
|
$1.2 | $3.5 | 31 Jul 2026 |
Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.
A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.
The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.
| Task set | Result | Run conditions | Measured by |
|---|---|---|---|
| Arena Score, programming | 1,460.36 1,453–1,468 | — | — |
| Arena Score in French | 1,457.22 1,436–1,479 | — | — |
| Arena Score, expert questions | 1,456.83 1,444–1,469 | — | — |
| Arena Score in English | 1,456.77 1,451–1,463 | — | — |
| Arena Score, multi-turn dialogue | 1,456.52 1,447–1,466 | — | — |
| Arena Score, hard prompts | 1,451.58 1,446–1,457 | — | — |
| Arena Score, long queries | 1,447.52 1,441–1,454 | — | — |
| Arena Score in Spanish | 1,446.57 1,427–1,466 | — | — |
| Arena Score, overall | 1,445.17 1,441–1,450 | — | — |
| Arena Score, mathematics | 1,438.25 1,424–1,453 | — | — |
| Arena Score, creative writing | 1,436.16 1,427–1,445 | — | — |
| Arena Score in Russian | 1,435.63 1,425–1,447 | — | — |
| Arena Score, web development | 1,434.74 1,426–1,443 | — | — |
| Arena Score, instruction following | 1,427.44 1,421–1,434 | — | — |
| GPQA Diamond — graduate-level questions | 83.76 % | · with a tuned harness | Epoch evaluations |
| Mock AIME 2024–2025 — olympiad problems | 79.98 % | · with a tuned harness | Epoch evaluations |
| SWE-bench Verified — fixing bugs in repositories | 72.08 % | · with a tuned harness | Epoch evaluations |
| Terminal-Bench — working in the command line | 52.4 % | · with a tuned harness | — |
| WeirdML — unusual machine learning tasks | 48.17 % | — | WeirdML Leaderboard |
| ARC-AGI — generalising to unseen patterns | 44.67 % | · with a tuned harness | — |
| SimpleBench — trick questions | 43.84 % | — | SimpleBench Leaderboard |
| APEX-Agents | 17.2 % | — | — |
| Chess puzzles | 5.3 % | — | Epoch evaluations |
| ARC-AGI-2 | 4.86 % | — | — |