Cost per coding-agent request

Is DeepSeek V3.2 or GPT-5.6 Terra cheaper for coding agents?

For coding agents, GPT-5.6 Terra costs 3.3x as much as DeepSeek V3.2 per request ($0.042 vs $0.013 on our measured traffic), because GPT-5.6 Terra lists at $2 input, $0.20 cached input and $12 output per million tokens against $0.259, $0.14 and $0.80 for DeepSeek V3.2, and GPT-5.6 Terra charges more for prompts over 272K tokens.

List prices: OpenRouter listed price, OpenAI API pricing, 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	DeepSeek V3.2	GPT-5.6 Terra
Prompt under 100K tokens50% of requests, 87% of input cached	$0.0095	$0.032
Prompt of 100K to 272K39% of requests, 88% of input cached	$0.020	$0.063
Prompt over 272K tokens11% of requests, 86% of input cached	n/a	n/a
Average request	$0.013	$0.042
100 requests	$1.27	$4.16
Median session16 requests; a session ends after 10 idle minutes	$0.13	$0.46
A month of regular usemedian of 20 users active on 5+ days	$12.93	$40.25

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 164K tokens that fit in both context windows; band shares above describe all requests.

Benchmarks, speed and latency, side by side

Artificial Analysis	DeepSeek V3.2	GPT-5.6 Terra
Intelligence Index10 evaluations, 0 to 100	21 (estimate)	42
Terminal-Bench 4.0agentic coding in a terminal	n/a	35.4%
Output speedmedian	n/a	135 tokens/s
Time to first answer tokenincludes thinking time	n/a	2.2 min

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: DeepSeek V3.2 (Reasoning), speed on DeepSeek; 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

DeepSeek V3.2's 164K window cannot take 28% 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; DeepSeek'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 DeepSeek V3.2 cheaper than GPT-5.6 Terra for coding agents?

Yes, at the listed prices. 100 average coding-agent requests cost $1.27 on DeepSeek V3.2 and $4.16 on GPT-5.6 Terra. A median 16-request session costs $0.13 vs $0.46. Measured on 79,301 real coding-agent requests (Sep 13 to Oct 12, 2026), counting only the requests up to 164K tokens that both can take.

How much does a month of GPT-5.6 Terra vs DeepSeek V3.2 cost?

For the median regular user in our data (1,478 requests in 30 days), about $40.25 on GPT-5.6 Terra and $12.93 on DeepSeek V3.2 at list price. Heavier users pay proportionally more.

DeepSeek V3.2 vs GPT-5.6 Terra: which is better for agents?

GPT-5.6 Terra scores higher on output quality (8.0/10 vs 5.2/10), while DeepSeek V3.2 is the cheaper option. DeepSeek V3.2 is best for existing V3.2 setups with short prompts; GPT-5.6 Terra is best for fast mid-tier work in existing GPT-5.6 setups. Live community votes on this page show what people actually prefer.

Can I switch between DeepSeek V3.2 and GPT-5.6 Terra 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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