"Which coding model is cheapest" is usually answered with a per-million-token headline, which hides the thing that matters: coding agents emit far more output than input per useful unit of work. The table below applies one realistic shape — 1M input tokens and 200K output tokens — to every model, so the numbers are comparable.
| Model | Input / 1M | Output / 1M | Cost per run | 20 runs |
|---|---|---|---|---|
| DeepSeek V4 Flash | $0.080 | $0.170 | $0.11 | $2.28 |
| GLM-5.3-Flash | $0.080 | $0.280 | $0.14 | $2.72 |
| Qwen3 Coder Flash | $0.150 | $0.750 | $0.30 | $6.00 |
| MiniMax M3 | $0.300 | $1.200 | $0.54 | $10.80 |
| MiMo V2.5 Pro | $0.427 | $0.855 | $0.60 | $11.96 |
| DeepSeek V4 Pro | $0.570 | $1.150 | $0.80 | $16.00 |
| Doubao-Seed-2.0-Code | $0.448 | $2.240 | $0.90 | $17.92 |
| Kimi K2.7 Code | $0.670 | $3.400 | $1.35 | $27.00 |
| Qwen3.7-Max | $1.160 | $3.475 | $1.86 | $37.10 |
| GLM-5.3 | $1.250 | $4.000 | $2.05 | $41.00 |
| Qwen3.8-Max | $1.840 | $5.515 | $2.94 | $58.86 |
| Kimi K2.7 Code HighSpeed | $2.073 | $8.610 | $3.80 | $75.90 |
| Kimi K3 | $2.900 | $14.500 | $5.80 | $116.00 |
Two models illustrate the trap:
Coding agents spend most of their tokens on completions, diffs and test output, so a model with a 5x output rate is 3-5x more expensive in practice even if its input looks competitive.
The range from DeepSeek V4 Flash ($0.11) to Kimi K3 ($5.80) is roughly 50x for the same token volume. In practice teams pay for:
A practical split: run DeepSeek V4 Flash or GLM-5.3-Flash for search, summarisation and diff review, and reserve DeepSeek V4 Pro or Kimi K2.7 Code for the edits that need to land first time.
curl https://aiapi-pro.com/v1/chat/completions \
-H "Authorization: Bearer $NOVAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepseek-v4-flash","messages":[{"role":"user","content":"refactor src/app.py"}]}'
Every model in the table is reachable through the same endpoint, with the same OpenAI SDK settings — switching is a one-line model id change.
DeepSeek V4 Flash at $0.08 per 1M input and $0.17 per 1M output: a 1M-input / 200K-output run costs about $0.11. GLM-4.7-Flash is free but capped at 10 calls/day on the free tier.
Coding agents emit long completions. A model with cheap input but a $2.24 output rate (Doubao-Seed-2.0-Code) costs $0.90 per run, while DeepSeek V4 Pro with higher input ($0.57) but low output ($1.15) costs $0.80.
No. NovAI passes through the provider list price with a 1.0 multiplier and zero markup, so the numbers equal the upstream rate card.
A heavy agent month of 20M input and 4M output tokens costs about $2.28 on DeepSeek V4 Flash, $10.80 on MiniMax M3, $16 on DeepSeek V4 Pro and $116 on Kimi K3.
111 live models, one endpoint, provider list price with 0% markup. $2 credit on signup, no card required.
Get an API keyPrices reflect provider rate cards as of 2026-10-22 and are published machine-readably at /china-ai-leaderboard.json. Cost per run = 1M input tokens + 200K output tokens.