Cost per coding-agent request

Is GLM 4.7 or Kimi K2.7 Code cheaper for coding agents?

For coding agents, Kimi K2.7 Code costs 1.4x as much as GLM 4.7 per request ($0.024 vs $0.017 on our measured traffic), because Kimi K2.7 Code lists at $0.671 input, $0.18 cached input and $3.35 output per million tokens against $0.60, $0.11 and $2.20 for GLM 4.7.

List prices: Z.AI pricing, OpenRouter listed price, checked 2026-10-13. Request costs: Standard Compute gateway data, 79,301 coding-agent requests from 75 users, Sep 13 to Oct 12, 2026. How we compute this

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Cost per coding-agent request, side by side

Cost at list price	GLM 4.7	Kimi K2.7 Code
Prompt under 100K tokens50% of requests, 87% of input cached	$0.011	$0.016
Prompt of 100K to 272K39% of requests, 88% of input cached	$0.026	$0.037
Prompt over 272K tokens11% of requests, 86% of input cached	n/a	n/a
Average request	$0.017	$0.024
100 requests	$1.68	$2.39
Median session16 requests; a session ends after 10 idle minutes	$0.19	$0.26
A month of regular usemedian of 20 users active on 5+ days	$17.73	$25.31

Each logged request priced at the listed rates above for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request. Both models are priced on the requests up to 205K tokens that fit in both context windows; band shares above describe all requests.

Benchmarks, speed and latency, side by side

Artificial Analysis	GLM 4.7	Kimi K2.7 Code
Intelligence Index10 evaluations, 0 to 100	22 (estimate)	26
Terminal-Bench 4.0agentic coding in a terminal	n/a	1.0%
Output speedmedian	42 tokens/s	75 tokens/s
Time to first answer tokenincludes thinking time	49 s	33 s

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: GLM-4.7 (Reasoning); Kimi K2.7 Code, speed on Kimi. Fetched October 13, 2026. Artificial Analysis runs Terminal-Bench 4.0 in its own setup, so its scores differ from the tbench.ai leaderboard.

What to watch for

GLM 4.7's 205K window cannot take 20% of coding-agent requests, so the comparison uses only requests both can take. The price is OpenRouter's listed rate on October 13, 2026, which can be a third-party host's; Moonshot AI's own API may charge differently. GLM 4.7 scores close to it on the benchmarks above, so the cheaper request is not bought with much lower ability.

FAQ

Is GLM 4.7 cheaper than Kimi K2.7 Code for coding agents?

Yes, at the listed prices. 100 average coding-agent requests cost $1.68 on GLM 4.7 and $2.39 on Kimi K2.7 Code. A median 16-request session costs $0.19 vs $0.26. Measured on 79,301 real coding-agent requests (Sep 13 to Oct 12, 2026), counting only the requests up to 205K tokens that both can take.

How much does a month of Kimi K2.7 Code vs GLM 4.7 cost?

For the median regular user in our data (1,478 requests in 30 days), about $25.31 on Kimi K2.7 Code and $17.73 on GLM 4.7 at list price. Heavier users pay proportionally more.

GLM 4.7 vs Kimi K2.7 Code: which is better for agents?

Kimi K2.7 Code scores higher on output quality (5.8/10 vs 5.3/10), while GLM 4.7 is the cheaper option. GLM 4.7 is best for existing GLM 4.x setups that want a small step up from 4.6; Kimi K2.7 Code is best for coding agents that need an open-weight model with a coding-specific tune. Live community votes on this page show what people actually prefer.

Can I switch between GLM 4.7 and Kimi K2.7 Code in the same agent?

Yes. Model-agnostic agents (Cline, Aider, OpenClaw, Hermes Agent, Kilo Code, OpenCode) let you swap models per task. Many people route hard tasks to the stronger model and routine work to the cheaper one.

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality

Correctness and depth of what it produces

Agentic Ability

Tool calls, instruction-following, and multi-step tasks

Speed

Tokens per second and time-to-first-token

Value for Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Current Claude, GPT, Gemini and open models run on Standard Compute

Standard Compute

Current frontier models Claude Fable 5.1 · GPT-6 Astra

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