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Cost per coding-agent request

Is Claude Haiku 4.5 or GPT-5.6 Luna cheaper for coding agents?

For coding agents, Claude Haiku 4.5 costs 4.9x as much as GPT-5.6 Luna per request ($0.022 vs $0.0045 on our measured traffic), because Haiku 4.5 lists at $1/$5 per million tokens against Luna's $0.20/$1.20.

List prices: Anthropic pricing, 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

Newer models are out. Claude Haiku 5.5 vs GPT-6 Luna: cost per coding-agent task, from real gateway data →

Run GPT-5.6 Luna, Claude Haiku 5.5 and GPT-6 Luna in your agent from $19/month

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Cost per coding-agent request, side by side

Cost at list priceGPT-5.6 LunaHaiku 4.5
Prompt under 100K tokens50% of requests, 87% of input cached$0.0032$0.016
Prompt of 100K to 272K39% of requests, 88% of input cached$0.0068$0.033
Prompt over 272K tokens11% of requests, 86% of input cachedn/an/a
Average request$0.0045$0.022
100 requests$0.45$2.22
Median session16 requests; a session ends after 10 idle minutes$0.053$0.27
A month of regular usemedian of 20 users active on 5+ days$5.06$24.74

Each logged request priced at the vendor’s list rates 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 200K tokens that fit in both context windows; band shares above describe all requests.

Benchmarks, speed and latency, side by side

Artificial AnalysisGPT-5.6 LunaHaiku 4.5
Intelligence Index10 evaluations, 0 to 1003717
Terminal-Bench 4.0agentic coding in a terminal11.6%0.0%
Output speedmedian123 tokens/s95 tokens/s
Time to first answer tokenincludes thinking time117 s22 s

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: GPT-5.6 Luna (Max), speed on OpenAI; Claude 4.5 Haiku (Reasoning), speed on Anthropic. 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

Both models are superseded. Claude Haiku 5.5 and GPT-6 Luna list at $0.10/$0.50, and Haiku 4.5's 200K window cannot take 21% of coding-agent requests at all. The comparison above uses only requests both models can take.

FAQ

Is GPT-5.6 Luna cheaper than Claude Haiku 4.5 for coding agents?
Yes, at list prices. 100 average coding-agent requests cost $0.45 on GPT-5.6 Luna and $2.22 on Claude Haiku 4.5. A median 16-request session costs $0.053 vs $0.27. Measured on 79,301 real coding-agent requests (Sep 13 to Oct 12, 2026), counting only the requests up to 200K tokens that both can take.
How much does a month of Haiku 4.5 vs GPT-5.6 Luna cost?
For the median regular user in our data (1,478 requests in 30 days), about $24.74 on Claude Haiku 4.5 and $5.06 on GPT-5.6 Luna at list price. Heavier users pay proportionally more.
Claude Haiku 4.5 vs GPT-5.6 Luna: which is better for agents?
GPT-5.6 Luna scores higher on output quality (7.4/10 vs 4.5/10), while GPT-5.6 Luna is the cheaper option. Claude Haiku 4.5 is best for short, simple subtasks in setups that still run Haiku 4.5; GPT-5.6 Luna is best for cheap subtasks in existing GPT-5.6 setups. Live community votes on this page show what people actually prefer.
Can I switch between Claude Haiku 4.5 and GPT-5.6 Luna 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. 6 votes cast so far.

Output Quality

Correctness and depth of what it produces

0%1 vote100%

Agentic Ability

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

0%1 vote100%

Speed

Tokens per second and time-to-first-token

100%2 votes0%

Value for Money

How much capability you get per dollar

0%1 vote100%

Reliability

Consistent results: fewer refusals, loops and format breaks

0%1 vote100%

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