Cost per coding-agent request

Is GPT-5.6 Terra or Kimi K2.7 Code cheaper for coding agents?

For coding agents, GPT-5.6 Terra costs 1.9x as much as Kimi K2.7 Code per request ($0.052 vs $0.027 on our measured traffic), because GPT-5.6 Terra lists at $2 input, $0.20 cached input and $12 output per million tokens against $0.671, $0.18 and $3.35 for Kimi K2.7 Code, and GPT-5.6 Terra charges more for prompts over 272K tokens.

List prices: OpenAI API 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	Kimi K2.7 Code	GPT-5.6 Terra
Prompt under 100K tokens50% of requests, 87% of input cached	$0.016	$0.032
Prompt of 100K to 272K39% of requests, 88% of input cached	$0.042	$0.078
Prompt over 272K tokens11% of requests, 86% of input cached	n/a	n/a
Average request	$0.027	$0.052
100 requests	$2.71	$5.19
Median session16 requests; a session ends after 10 idle minutes	$0.31	$0.63
A month of regular usemedian of 20 users active on 5+ days	$35.08	$65.30

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 262K tokens that fit in both context windows; band shares above describe all requests.

Benchmarks, speed and latency, side by side

Artificial Analysis	Kimi K2.7 Code	GPT-5.6 Terra
Intelligence Index10 evaluations, 0 to 100	26	42
Terminal-Bench 4.0agentic coding in a terminal	1.0%	35.4%
Output speedmedian	75 tokens/s	135 tokens/s
Time to first answer tokenincludes thinking time	33 s	2.2 min

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: Kimi K2.7 Code, speed on Kimi; GPT-5.6 Terra (Max), speed on OpenAI. 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

Kimi K2.7 Code's 262K window cannot take 12% 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. GPT-5.6 Terra scores clearly higher on the benchmarks above, so it may finish hard tasks in fewer steps.

FAQ

Is Kimi K2.7 Code cheaper than GPT-5.6 Terra for coding agents?

Yes, at the listed prices. 100 average coding-agent requests cost $2.71 on Kimi K2.7 Code and $5.19 on GPT-5.6 Terra. A median 16-request session costs $0.31 vs $0.63. Measured on 79,301 real coding-agent requests (Sep 13 to Oct 12, 2026), counting only the requests up to 262K tokens that both can take.

How much does a month of GPT-5.6 Terra vs Kimi K2.7 Code cost?

For the median regular user in our data (1,478 requests in 30 days), about $65.30 on GPT-5.6 Terra and $35.08 on Kimi K2.7 Code at list price. Heavier users pay proportionally more.

GPT-5.6 Terra vs Kimi K2.7 Code: which is better for agents?

GPT-5.6 Terra scores higher on output quality (8.0/10 vs 5.8/10), while Kimi K2.7 Code is the cheaper option. GPT-5.6 Terra is best for fast mid-tier work in existing GPT-5.6 setups; 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 GPT-5.6 Terra 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 are included with Standard Compute

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Current frontier models Claude Fable 5.1 · GPT-6 Astra

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