Cost per coding-agent request

Is DeepSeek R1 (0528) or DeepSeek V3.2 cheaper for coding agents?

For coding agents, DeepSeek R1 (0528) costs 2.4x as much as DeepSeek V3.2 per request ($0.031 vs $0.013 on our measured traffic), because DeepSeek R1 (0528) lists at $0.50 input, $0.35 cached input and $2.15 output per million tokens against $0.259, $0.14 and $0.80 for DeepSeek V3.2.

List prices: 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

Run current Claude, GPT, Gemini and open models in your agent

Or let the router send each step to the cheapest model that can do it, on providers we vet for price, uptime and speed. Plans from $19 a month.

See plans

Cost per coding-agent request, side by side

Cost at list price	DeepSeek V3.2	DeepSeek R1
Prompt under 100K tokens50% of requests, 87% of input cached	$0.0095	$0.023
Prompt of 100K to 272K39% of requests, 88% of input cached	$0.020	$0.049
Prompt over 272K tokens11% of requests, 86% of input cached	n/a	n/a
Average request	$0.013	$0.031
100 requests	$1.27	$3.06
Median session16 requests; a session ends after 10 idle minutes	$0.13	$0.29
A month of regular usemedian of 20 users active on 5+ days	$12.93	$30.90

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	DeepSeek R1
Intelligence Index10 evaluations, 0 to 100	21 (estimate)	13 (estimate)
Output speedmedian	n/a	28 tokens/s
Time to first answer tokenincludes thinking time	n/a	73 s

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: DeepSeek V3.2 (Reasoning), speed on DeepSeek; DeepSeek R1 0528 (May '25). 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 R1 (0528)'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. DeepSeek V3.2 scores as well or better on the benchmarks above, so the cheaper request is not bought with much lower ability.

FAQ

Is DeepSeek V3.2 cheaper than DeepSeek R1 (0528) for coding agents?

Yes, at the listed prices. 100 average coding-agent requests cost $1.27 on DeepSeek V3.2 and $3.06 on DeepSeek R1 (0528). A median 16-request session costs $0.13 vs $0.29. 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 DeepSeek R1 vs DeepSeek V3.2 cost?

For the median regular user in our data (1,478 requests in 30 days), about $30.90 on DeepSeek R1 (0528) and $12.93 on DeepSeek V3.2 at list price. Heavier users pay proportionally more.

DeepSeek R1 (0528) vs DeepSeek V3.2: which is better for agents?

DeepSeek V3.2 scores higher on output quality (5.2/10 vs 4.0/10), while DeepSeek V3.2 is the cheaper option. DeepSeek R1 (0528) is best for research and comparisons that need the original R1 reasoning model; DeepSeek V3.2 is best for existing V3.2 setups with short prompts. Live community votes on this page show what people actually prefer.

Can I switch between DeepSeek R1 (0528) and DeepSeek V3.2 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

More intelligence
per dollar.

Each step goes to the cheapest model that can do it, on providers we vet for price, uptime and speed, with automatic fallback when one fails.

Compliance: Opt-in rules keep a company, team or key on European or US providers
Privacy: We don’t train on your prompts or store them

Get your API key See how it works

Fixed monthly plans from $19 · cancel anytime

7-day fair refund Free trial, no card Billing by Stripe4,100+ agent users