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All plans/Calculator/GLM-5.2

GLM-5.2 Calculator — requests per $1

Every monthly plan that includes GLM-5.2, converted to requests per $1 at the model's typical request shape. Same engine as the main calculator — proxy estimates carry a ~ marker; coarse estimates carry ≈.

GLM-5.2 is Z.AI's open-weight previous flagship. Z.AI's current flagship is GLM-5.3, and GLM-5.2/5.1 requests auto-route to it on Z.AI plans.

At GLM-5.2’s typical shape

396req / $1

on OpenCode Go · 33 plans priced · exact

Agent Arena benchmark

#28 (Max) · 0.4% net improvement

Agent Arena leaderboard · fetched 2026-11-09

Per-request shape · tokens
Plan detailsProvider and subscription tier. Sorts by provider name.Standard monthly price in USD, before first-month promotions.Estimated cost per request for the selected model and token shape.Requests fitting in the rolling 5-hour budget. '—' means no published 5-hour limit.Requests fitting in the rolling 7-day budget. '—' means no published weekly limit.Requests fitting in 30 days. Weekly budgets are extrapolated; unused credits do not roll over.Requests per $1 of plan price over 30 days. Higher is better.Requests per $1 available in one 5-hour burst. Uncapped plans match Req / $1.SubscribeOpen provider pricing. Referral links may support TokenPlans at no extra cost.
CommandCodeGoCheapest$10 credits · ~15K reqs/mo · $3/5h · $6/7d$1.00$0.0152197395659~659~197Subscribe ↗
CommandCodeGOATNew$70 credits · ~75K reqs/mo · $14/5h · $35/7d$10.00$0.01529232,3084,617~462~92Subscribe ↗
Charm HyperShred Diet180 Hypercredits/week ≈ $9.00 (refreshes Sunday 00:00 UTC) · 100 Hypercredits/5h · 2 concurrent requests$10.00$0.0097——4,015~402~402Subscribe ↗
OpenCodeGo$100/mo usage · $50/wk · $20/5h$10.00$0.01527911,9783,95739679Subscribe ↗
OpenCodeGo Plus$240/mo usage · $120/wk · $48/5h$40.00$0.0152——11,873297297Subscribe ↗
Charm HyperShred Classic250 Hypercredits/week ≈ $12.50 (refreshes Sunday 00:00 UTC) · 150 Hypercredits/5h · 3 concurrent requests$20.00$0.0097——5,577~279~279Subscribe ↗
BytePlusCoding Plan ProNew~9,500 req/5h · ~60,000/wk · ~120,000/mo · ~3× Claude Max usage · quota shared across tools$50.00$0.00381,0466,60613,212~264~21Subscribe ↗
BytePlusCoding Plan LiteNew~1,900 req/5h · ~12,000/wk · ~24,000/mo · ~3× Claude Pro usage · quota shared across tools$10.00$0.00382091,3212,642~264~21Subscribe ↗
CommandCodePro$80 credits · ~100K reqs/mo · $16/5h · $40/7d$20.00$0.01521,0552,6385,277~264~53Subscribe ↗
NanoGPTSubscription60M input tokens/week · 2x on GLM 5/5.1/5.2, Kimi K2.7 Code, DeepSeek V4 Pro/Pro 0813 · 100 images/day$12.00$0.0049——2,439~203~203Subscribe ↗
Charm HyperShred Energy400 Hypercredits/week ≈ $20.00 (refreshes Sunday 00:00 UTC) · 250 Hypercredits/5h · 4 concurrent requests$50.00$0.0097——8,923~178~178Subscribe ↗
Charm HyperShred Nitro690 Hypercredits/week ≈ $34.50 (refreshes Sunday 00:00 UTC) · 400 Hypercredits/5h · 8 concurrent requests$100.00$0.0097——15,393~154~154Subscribe ↗
QwenCloudPro Plan-15% off$68/mo180,000 Credits / month$80.00$0.0072——11,111~139~139Subscribe ↗
Charm HyperShred Animal1200 Hypercredits/week ≈ $60.00 (refreshes Sunday 00:00 UTC) · 700 Hypercredits/5h · 12 concurrent requests$200.00$0.0097——26,770~134~134Subscribe ↗
Phoenix GroveUltra~665M tokens/mo (3.3B+ light) · 7 agents$99.00$0.0079——12,582~127~127Subscribe ↗
Phoenix GroveElite~335M tokens/mo (1.8B+ light) · 6 agents$50.00$0.0079——6,338~127~127Subscribe ↗
Phoenix GroveCanopy~1.3B tokens/mo (6.6B+ light) · 8 agents$195.00$0.0079——24,597~126~126Subscribe ↗
Phoenix GrovePro~165M tokens/mo (890M+ light) · 5 agents$24.95$0.0080——3,122~125~125Subscribe ↗
Phoenix GroveBasic~85M tokens/mo (450M+ light) · 3 agents$12.95$0.0081——1,608~124~124Subscribe ↗
QwenCloudStandard Plan-28% off$18/mo45,000 Credits / month$25.00$0.0090——2,777~111~111Subscribe ↗
CommandCodeMax 10×$150 credits · ~230K reqs/mo · $45/5h · $90/7d$100.00$0.01522,9685,9369,894~99~30Subscribe ↗
CommandCodeMax 20×$300 credits · ~370K reqs/mo · $90/5h · $180/7d$200.00$0.01525,93611,87319,788~99~30Subscribe ↗
QwenCloudEssential Plan-68.75% off$5/mo25,500 Credits / month$16.00$0.0102——1,574~98~98Subscribe ↗
QwenCloudLite Plan-62.5% off$3/mo11,500 Credits / month$8.00$0.0113——709~89~89Subscribe ↗
Standard ComputePro$269/mo compute budget · no 5h/week windows · highest-priority scheduling$249.00$0.0152——17,744~71~71Subscribe ↗
Standard ComputeStandard$95/mo compute budget · no 5h/week windows · priority scheduling$89.00$0.0152——6,266~70~70Subscribe ↗
Standard ComputeStarter$20/mo compute budget · no 5h/week windows · one agent at a time$19.00$0.0152——1,319~69~69Subscribe ↗
Standard ComputeEconomy$41/mo compute budget · no 5h/week windows · parallel agents$39.00$0.0152——2,704~69~69Subscribe ↗
OllamaMax10 concurrent requests · $300/mo usage credits$100.00$0.0152——6,5966666Subscribe ↗
OllamaPro$60/mo usage credits · access to larger pro models$20.00$0.0152——1,3196666Subscribe ↗
CommandCodeProviderPAYG · top-ups roll over, never expire · zero markup$15.00$0.0152——989~66~66Subscribe ↗
OzorePro$70 in credits/mo · + Smart Compression, Analytics Pro, Privacy Pack, 10 extra API keys, Custom Router, Fusion$35.00≤$0.0484——≥1,446~≥41~≥41Subscribe ↗
OzoreBasic$20 in credits/mo · spend on any model at discounted rates · cancel anytime$10.00≤$0.0484——≥413~≥41~≥41Subscribe ↗

Some Subscribe buttons carry referral or affiliate codes — using them may give you a signup bonus or support this project at no extra cost to you.

Markers: ~ proxy estimate · ≈ coarse estimate · ≥ cache floor · ≤ cache ceiling — a plan that publishes no cached-read rate bills cached tokens at the input rate, so its Req/$1 is a floor (≥) and its cost is a ceiling (≤). Borrowed cap means the budget is a published API cap at list price, so Req / $1 is a value comparison rather than a measured allowance.

Best-priced plans

Best-priced plans for GLM-5.2

The top 5 plans by computed Req/$1 that include GLM-5.2, plus the lowest-cost plan. Computed at build from the same cost rules the calculator renders · ~ proxy estimate · ≈ coarse estimate · ≥ cache floor · ≤ cache ceiling

Provider / planPriceReq/$1
CommandCode Go$1◆~659
CommandCode GOAT$10~462
Charm Hyper Shred Diet$10~402
OpenCode Go$10396
OpenCode Go Plus$40297

“n/a” = the provider publishes no price structure for GLM-5.2 — the calculator renders the same honest n/a. ◆ best value = highest computed Req/$1.

What real work costs

What GLM-5.2 costs on real coding tasks

Illustrative cost of common coding tasks on the best-priced plans above, scaled from each plan's live per-request price to a task-typical token volume. Task token assumptions are shared ~proxy estimates — real tasks vary, and they are never per-provider shapes.

TaskCommandCode GoCommandCode GOATCharm Hyper Shred DietOpenCode GoOpenCode Go Plus
Quick lookup / one-liner8,000 in · 1,000 out~1¢~1¢~1¢~1¢~1¢
Review a 500-line PR60,000 in · 4,000 out~2¢~2¢~1¢~2¢~2¢
Fix a bug (agent loop)180,000 in · 12,000 out~6¢~6¢~4¢~6¢~6¢
Refactor a module320,000 in · 20,000 out~10¢~10¢~6¢~10¢~10¢
Full-repo agent run900,000 in · 45,000 out~27¢~27¢~17¢~27¢~27¢

Per-task cost = the plan's effective 52,850-token request price scaled to each task's token volume at the same shape mix. ~ = proxy estimate — shared task-token assumptions, not a quote. “n/a” = GLM-5.2 unpriced on that plan.

Common questions

How many requests per $1 do I get on GLM-5.2?

The best plan pricing GLM-5.2 delivers 396 Req/$1 at the model's typical request shape — on OpenCode Go. Figures are exact confidence: they are computed from published rates and usage caps, proxy estimates are marked with a ~, and borrowed-cap plans use a published API cap at list price, so their Req/$1 is a value comparison rather than a measured allowance.

What's the cheapest plan with GLM-5.2?

CommandCode Go at $1/mo. The cheapest plan is not always the best value — check Req/$1 above.

Which plans include GLM-5.2?

33 tracked plans across 10 providers price it: CommandCode (Go, GOAT, Max 10×, Max 20×, Pro and Provider), Charm Hyper (Shred Diet, Shred Classic, Shred Energy, Shred Nitro and Shred Animal), Phoenix Grove (Basic, Pro, Elite, Ultra and Canopy), QwenCloud (Lite Plan, Essential Plan, Standard Plan and Pro Plan), Standard Compute (Starter, Economy, Standard and Pro), BytePlus (Coding Plan Lite and Coding Plan Pro), Ollama (Pro and Max), OpenCode (Go and Go Plus), Ozore (Basic and Pro) and NanoGPT Subscription. The calculator compares every tracked monthly plan that prices it.

Where does GLM-5.2 rank on the Agent Arena leaderboard?

#28 (Max config) on the Agent Arena agent leaderboard — 0.4% net improvement (board fetched 2026-11-09). Ranks are scraped from https://arena.ai/leaderboard/agent, never typed by hand.

What is GLM-5.2?

GLM-5.2 is Z.AI’s open-weight model for agentic coding and reasoning, released in 2026 — the flagship until GLM-5.3 arrived in August 2026. It belongs to the Z.AI (formerly Zhipu) GLM model family and can be self-hosted or accessed through monthly subscription plans.

Can I self-host GLM-5.2?

Yes — GLM-5.2 is open-weight, so it can be self-hosted on compatible hardware or accessed through a provider endpoint.

Is GLM-5.2 open-weight?

Yes — GLM-5.2 is Z.AI’s open-weight model (family: zai, kind: text) — Z.AI’s previous flagship, superseded by GLM-5.3. The model weights are publicly available, so you can self-host it or use any BYOK plan that exposes an OpenAI-compatible endpoint. This sets it apart from proprietary models like GPT-5.5 and Kimi K3.

Can I use GLM-5.2 with any agent (BYOK)?

Yes — because GLM-5.2 is open-weight, any BYOK plan that exposes an OpenAI-compatible endpoint can serve it. Several providers offer no-CLI-lock plans at various price points, so you can use it with OpenCode, pi, Cursor, or any agent that supports custom OpenAI-compatible endpoints.

What kind of model is GLM-5.2?

GLM-5.2 is a text generation model (kind: text) focused on agentic coding and reasoning. It is a heavyweight frontier model — not a budget throughput pick like DeepSeek V4 Flash — which means it costs more per request but handles complex multi-step agent tasks well.

Want the whole market at once? Every tracked coding plan, ranked by requests per $1 sits on one page, and the methodology explains how each figure is derived.

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