GLM 5.2 pricing: real cost per million tokens
What Zhipu's GLM 5.2 really costs across 5 plans from 4 providers: monthly fees, usable allowances and real per-token prices, against the official API list price and independent leaderboards.
Data updated · How real prices are computed
As of 2026-10-08, the cheapest way to use GLM 5.2 is Droid Max at a real cost of about $0.02771 per million tokens ($200/month for roughly 7.217B tokens a month). We track 5 plans and API channels that serve GLM 5.2.
- Lowest real price
- $0.02771/MTokDroid Max
- API list price
- —
- Most monthly tokens
- 7.217BDroid Max
- Plans & APIs
- 55 subscriptions · 0 metered APIs
Plot GLM 5.2 on the price–capability chart →
GLM 5.2 plans and real prices
Real price = monthly fee ÷ tokens you can actually use in a month. “vs API” shows how many times cheaper than the official API list price (standard workload mix) the plan is. “Evidence” opens the full calculation and sources for that row.
| Plan | Provider | Billing | Monthly fee | Monthly tokens | Real $/MTok | vs API | Confidence | Data date | |
|---|---|---|---|---|---|---|---|---|---|
| Droid Max | Factory | Subscription | $200/mo | 7.217B | $0.02771 | — | Medium | Evidence ↓ | |
| Command Code GOAT | Command Code | Subscription | $10/mo | 0.226B | $0.04417 | — | Medium | Evidence ↓ | |
| OpenCode Go | OpenCode | Subscription | $10/mo | 0.194B | $0.05155 | — | Medium | Evidence ↓ | |
| Ollama Max | Ollama | Subscription | $100/mo | 0.97B | $0.1031 | — | Medium | Evidence ↓ | |
| Ollama Pro | Ollama | Subscription | $20/mo | 0.194B | $0.1031 | — | Medium | Evidence ↓ |
Behind each number
For every plan: the data date, the exact calculation, the quota basis, how leaderboard scores were mapped, and the original adoption evidence with its sources.
Droid MaxFactory$0.027712/MTok
- Data date
- 2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5
- Real price / MTok
- $0.027712
- Monthly tokens
- 7,217,100,000 (7.217B)
- Quota confidence
- Medium
- Calculation
- $200 / month ÷ 7,217,100,000 tokens × 1,000,000 ≈ $0.027712 / MTok
- Quota basis
Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (2 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
Derived from same-plan claude-opus-5.5 2.526B × 2.857142857142857
Factory official multipliers Opus 5.5 1.6× / glm-5.2 0.56×: the same Standard Usage pool scaled by multiplier — not a measurement of this model; inherits the Opus 5.5 row's Anthropic-tier workload, not recomputed for each model's own price gap; docs.factory.ai/docs/models; droid-model-multipliers-2026-09-29.json; Droid Core models draw Standard Usage first, then a separate free open-source pool applies (independent cap unmeasured); this value counts only the Standard Usage part
droid-model-multipliers-2026-09-29.jsonBrowse the public evidence archive
Command Code GOATCommand Code$0.0441696/MTok
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.0441696
- Monthly tokens
- 226,400,000 (0.226B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 226,400,000 tokens × 1,000,000 ≈ $0.0441696 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (2 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json
Added 226.4M: min(shared monthly pool $70, model allowance $70) ÷ project standard-workload weighted price; official three-part pricing. Processing fee ignored; allowances of different models in the same plan are not additive; no usage-panel token+% screenshot — computed from official absolute credits and the price list
https://commandcode.ai/docs/plans/goathttps://commandcode.ai/pricing;code-subscriptions-round1-2026-09-06.jsongoat-opencode-catalogs-round3-2026-09-30.jsonBrowse the public evidence archive
OpenCode GoOpenCode$0.0515464/MTok
- Plan
- OpenCode Go · OpenCode
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.0515464
- Monthly tokens
- 194,000,000 (0.194B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 194,000,000 tokens × 1,000,000 ≈ $0.0515464 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (2 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json
Added 194M: min(shared monthly pool $60, model Usage $60) ÷ project standard-workload weighted price; single official tier. The official request counts serve only as a cross-check and are no longer the primary allowance figure; allowances of different models in the same plan are not additive
https://opencode.ai/docs/go/goat-opencode-catalogs-round3-2026-09-30.jsonopencode-go-round5-2026-09-06.jsonBrowse the public evidence archive
Ollama MaxOllama$0.103072/MTok
- Plan
- Ollama Max · Ollama
- Data date
- 2026-09-06 · official source date
- Real price / MTok
- $0.103072
- Monthly tokens
- 970,200,000 (0.97B)
- Quota confidence
- Medium
- Calculation
- $100 / month ÷ 970,200,000 tokens × 1,000,000 ≈ $0.103072 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (2 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
https://ollama.com/pricing official usage credits and three-part pricing; https://ollama.com/blog/transparent-pricing; code-subscriptions-round1-2026-09-06.json; ollama-deepseek-v41-round1-2026-09-11.json
Added 970.2M: shared monthly pool $300 ÷ project standard-workload weighted price; official three-part pricing. Allowances of different models in the same plan are not additive (assuming the shared pool is used up on a single model); no usage-panel token+% screenshot — computed from official absolute credits and the price list
https://ollama.com/pricinghttps://ollama.com/blog/transparent-pricingcode-subscriptions-round1-2026-09-06.jsonollama-deepseek-v41-round1-2026-09-11.jsonBrowse the public evidence archive
Ollama ProOllama$0.103093/MTok
- Plan
- Ollama Pro · Ollama
- Data date
- 2026-09-06 · official source date
- Real price / MTok
- $0.103093
- Monthly tokens
- 194,000,000 (0.194B)
- Quota confidence
- Medium
- Calculation
- $20 / month ÷ 194,000,000 tokens × 1,000,000 ≈ $0.103093 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (2 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
https://ollama.com/pricing official usage credits and three-part pricing; https://ollama.com/blog/transparent-pricing; code-subscriptions-round1-2026-09-06.json; ollama-deepseek-v41-round1-2026-09-11.json
Added 194M: shared monthly pool $60 ÷ project standard-workload weighted price; official three-part pricing. Allowances of different models in the same plan are not additive (assuming the shared pool is used up on a single model); no usage-panel token+% screenshot — computed from official absolute credits and the price list
https://ollama.com/pricinghttps://ollama.com/blog/transparent-pricingcode-subscriptions-round1-2026-09-06.jsonollama-deepseek-v41-round1-2026-09-11.jsonBrowse the public evidence archive
GLM 5.2 benchmark scores
Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.
| Leaderboard | Metric | Score | Rank | Configuration | Effort | Harness | Configs | Snapshot |
|---|---|---|---|---|---|---|---|---|
| Artificial Analysis Intelligence Index v4.3 | Intelligence Index | 33.71 | #36 / 60 | GLM-5.2 (max) | Max | — | 2 | 2026-10-01 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 1.01 | #41 / 53 | Artificial Analysis - GLM-5.2 (max) | Max | Artificial Analysis | 1 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,605 | #21 / 54 | glm-5.2-max | Max | — | 1 | 2026-09-30 |
| Agent Arena · Overall (Ranking / Pareto) | Net Improvement % | 3.64 | #15 / 39 | GLM 5.2 (Max) | Max | — | 1 | 2026-09-30 |
| DeepSWE v1.1 | Pass@1 % | 43.78 | #28 / 33 | mini-swe-agent - glm-5-2 (max) | Max | mini-swe-agent | 2 | 2026-09-03 |
Every archived configuration
Artificial Analysis Intelligence Index v4.3 2 configurations
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| GLM-5.2 (max) | 33.7055 | — | — / Max / — | — / — | 2026-10-01 | Source · Archive |
| GLM-5.2 (non-reasoning) [AA estimate]GLM-5.2 (non-reasoning)Marked intelligenceIndexIsEstimated=true in AA embedded payload; retained as estimate, not treated as fully measured. | 22.4323 AA estimate | — | — / — / — | — / — | 2026-10-01 | Source · Archive |
Terminal-Bench 4.0 (AA) 1 configuration
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Artificial Analysis - GLM-5.2 (max)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board. | 1.0101 | — | Artificial Analysis / Max / — | — / — | 2026-10-01 | Source · Archive |
Code Arena | WebDev Overall 1 configuration
Agent Arena · Overall (Ranking / Pareto) 1 configuration
DeepSWE v1.1 2 configurations
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| mini-swe-agent - glm-5-2 (max) | 43.7778 | 42.052 – 45.503 | mini-swe-agent / Max / — | $3.92 / $3.464 | 2026-09-12 | Source · Archive |
| mini-swe-agent - glm-5-2 (high) | 36.2832 | 31.533 – 41.033 | mini-swe-agent / High / — | $2.836 / $2.25 | 2026-09-12 | Source · Archive |
These are reference mappings, not benchmarks of a subscription or API channel. Harness and quota-measurement effort alignment are unverified. Source task costs are not subscription task costs.
- Exact served-model reference; quota-measurement effort is unverified.
- Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.
Frequently asked questions
How much does GLM 5.2 really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, GLM 5.2 ranges from $0.02771 (Droid Max) to $0.1031 (Ollama Pro) per million tokens.
Which subscription gives the most GLM 5.2 usage?
Droid Max allows roughly 7.217B tokens of GLM 5.2 per month for $200.
How does GLM 5.2 score on independent leaderboards?
GLM 5.2 has scores on 5 leaderboards; its strongest placement is 3.64 (Net Improvement %) on Agent Arena · Overall (Ranking / Pareto), #15 of 39 models tracked.
Who makes GLM 5.2, and where can I use it?
GLM 5.2 (model ID glm-5.2) is made by Zhipu and is available through Command Code, Factory, Ollama, OpenCode.
More Zhipu models
| Model | Lowest real $/MTok | Cheapest plan | Plans |
|---|---|---|---|
| GLM 5.3 Flash | $0.00293 | GLM Coding Pro (v2 ¥149) Off-peak | 23 |
| GLM 5.3 | $0.00889 | GLM Coding Pro (v2 ¥149) Off-peak | 23 |
| GLM 5.2 Fast | $0.04157 | Droid Max | 2 |
| GLM 5.3 FlashX | $0.04413 | Command Code GOAT | 1 |
| GLM 5.1 | $0.07833 | Ollama Max | 3 |
| GLM 5 | $0.1175 | Command Code GOAT | 1 |