LLM API pricing comparison
Identical usage assumptions · 17 models · ranked after CNY conversion
The problem: vendors quote different units, currencies and discount bases, so "which model is cheaper" cannot be answered by reading the price lists side by side. The answer: fix the usage assumptions and convert to one basis, and the estimated monthly costs of the current catalog spread from about ¥10 to ¥300+ — tens of times apart. The low-price lightweight tier and the flagship long-document tier serve completely different scenarios; the spread comes mainly from output prices, cache prices and time-based pricing, not from "who discounts harder". Every number below is computed by the build script from this site's single data source (models.json) and the reference rate (fx.json), and can be reproduced step by step.
1. Method (normalize the basis before comparing numbers)
· Fixed usage: 100 calls/day · 2,000 input / 800 output tokens per call · 30-day month;
· Off-peak basis: time-based models are priced at the off-peak rate (DeepSeek off-peak ≈ half of peak; peak window weekdays 9:00–12:00, 14:00–18:00);
· Cache: 30% hit rate, effective input price = 30% × cache-hit price + 70% × miss price; models without a published cache price use the miss price;
· Tiers: input-length-tiered models are priced at the tier a 2,000-token input falls into;
· Currencies: unit prices keep the official currency (CNY or USD per 1M tokens); monthly costs are converted to CNY at the reference rate for ranking — indicative only;
· Step-by-step derivation in How to calculate LLM API costs; conventions in the pricing methodology.
2. Whole-market cost table at identical usage
| Model | Vendor / channel | Input price (list price / 1M tokens) |
Output price (list price / 1M tokens) |
Cache-hit price | Context | Est. monthly cost (CNY-converted) |
Verified |
|---|---|---|---|---|---|---|---|
| Qwen3.8-Flash | Alibaba Cloud Model Studio | ¥0.8 | ¥2.7 | ¥0.1 | 1000K | ¥10.02 | 2026-10-28 |
| GLM-5.3-Flash | Alibaba Cloud Model Studio · Zhipu (direct) | ¥0.8 | ¥2.8 | ¥0.23 | 1024K | ¥10.49 | 2026-10-28 |
| GPT-6 Luna | OpenAI | Input ≤272K $0.1 Input >272K (long context) not published |
Input ≤272K $0.5 Input >272K (long context) not published |
Input ≤272K $0.01 Input >272K (long context) not published |
1050K | ≈ ¥11.00 |
2026-10-28 |
| Claude Haiku 5.5 | Anthropic | Prompt ≤100K $0.1 Prompt >100K $0.5 |
Prompt ≤100K $0.5 Prompt >100K $2.5 |
Prompt ≤100K $0.01 Prompt >100K $0.05 |
1024K | ≈ ¥11.00 |
2026-10-28 |
| DeepSeek V4.1 Flash | DeepSeek | Peak ¥2 Off-peak ¥1 |
Peak ¥8 Off-peak ¥4 |
Peak ¥0.04 Off-peak ¥0.02 |
1000K | ¥13.84 | 2026-09-18 |
| Qwen3.5-Plus | Alibaba Cloud Model Studio (≤128K tier) | ¥0.8 | ¥4.8 | Not published | 1000K | ¥16.32 | 2026-09-18 |
| Step 3.7 Flash | Alibaba Cloud Model Studio · StepFun | ¥1.35 | ¥8.1 | ¥0.27 | 256K | ¥25.60 | 2026-10-28 |
| Qwen3.7-Plus | Alibaba Cloud Model Studio (≤256K tier, list price) | ¥2 | ¥8 | Not published | 1000K | ¥31.20 | 2026-09-18 |
| Gemini 3.1 Flash-Lite | $0.25 | $1.5 | $0.025 | 1024K | ≈ ¥31.54 |
2026-10-28 | |
| MiniMax M3 | MiniMax | Input ≤512K ¥2.1 Input >512K ¥4.2 |
Input ≤512K ¥8.4 Input >512K ¥16.8 |
Not published | 1024K | ¥32.76 | 2026-10-28 |
| Hunyuan TurboS Vision | Tencent Cloud | ¥3 | ¥9 | Not published | 128K | ¥39.60 | 2026-09-18 |
| DeepSeek V4 Pro 0813 | Tencent Cloud (official direct) | Peak ¥9 Off-peak ¥4.5 |
Peak ¥27 Off-peak ¥13.5 |
Peak ¥0.3 Off-peak ¥0.15 |
1000K | ¥51.57 | 2026-09-18 |
| Xiaomi MiMo V2.5 Pro | Alibaba Cloud Model Studio · Xiaomi (≤256K tier) | ¥7 | ¥21 | Not published | 1000K | ¥92.40 | 2026-09-18 |
| GLM-5.3 | Alibaba Cloud Model Studio · Zhipu (direct) | ¥8 | ¥28 | ¥2 | 1024K | ¥104.40 | 2026-10-28 |
| GPT-6.1 Sol | OpenAI | Input ≤272K $2 Input >272K (long context) not published |
Input ≤272K $10 Input >272K (long context) not published |
Input ≤272K $0.1 Input >272K (long context) not published |
1050K | ≈ ¥218.87 |
2026-10-28 |
| Claude Sonnet 5.5 | Anthropic | $2 | $10 | $0.1 | 1024K | ≈ ¥218.87 |
2026-10-28 |
| Kimi K3 | Alibaba Cloud Model Studio | ¥20 | ¥100 | ¥2 | 1024K | ¥327.60 | 2026-10-28 |
Assumptions: 100 calls/day · 2000 input / 800 output tokens per call · off-peak rates · 30% cache hit rate · 30-day month; USD models converted at 1 USD = 6.718 CNY, CFETS central parity rate 2026-10-23. Estimates use list prices only and do not constitute purchase advice.
Unit prices are vendors' published list prices per 1M tokens; USD models keep their $ list price, and monthly costs are converted to CNY for ranking. Vendor price changes, rate movements or a different hit rate will reshuffle the ranking — plug your real parameters into the cost calculator to reach your own conclusion.
3. How to read this table (four factual observations)
· Output price dominates the bill: at the example usage, output contributes about 55–65% of the monthly cost (800 output tokens × output price); comparing input prices alone systematically underestimates;
· Cache prices differ by orders of magnitude: the two DeepSeek models' cache-hit prices (¥0.02/1M off-peak) are about 50× lower than their miss input price (¥1/1M off-peak) — at high hit rates, input cost approaches the cache price;
· Off-peak half price is a predictable gain: time-based models are estimated at the off-peak rate; moving batch jobs off-peak halves the cost by billing rule, not by assumption;
· Long-context tiers are never back-filled: GPT-6 series >272K rates are unpublished, so estimates in that range show "cannot estimate" instead of borrowing the lower tier's price.
4. Data sources and limitations
· Data comes from this site's single source models.json; every record carries an official source link; verification dates appear in the table and on each model profile;
· The footer aggregates all official sources; price-verification time ≠ page-content update time: re-verification without price changes does not update page or sitemap dates (methodology §6);
· Cross-currency conversion uses the CFETS central parity rate (a static reference rate, not a trading rate);
· Estimates exclude free tiers, resource packs, subscription discounts and limited-time promotions; they are not provider invoices and do not constitute purchase advice.
5. Next steps
· Recompute with your real usage: cost calculator (any combination of models side by side);
· Full pricing profile per model: model library;
· Two candidates line by line: model comparison, e.g. GLM-5.3-Flash vs GPT-6 Luna (cross-vendor lightweight);
· Scenario-based monthly costs: cost scenarios guide;
· Back to the guide directory.