Claude Opus 5.5 is the best AI model for coding. MiMo-V2.6-Pro comes close for 7% of the cost, and DeepSeek V4.1 Flash answers fastest.
Claude Opus 5.5 is the best AI model for coding. MiMo-V2.6-Pro comes close for 7% of the cost, and DeepSeek V4.1 Flash answers fastest.
30 models · Updated September 2026 · Data from Artificial Analysis
Claude Opus 5.5
Anthropic · High effort
The highest score of any model we compared at this setting.
MiMo-V2.6-Pro
Xiaomi · Standard effort
86% of Claude Opus 5.5's score for 7% of the cost.
DeepSeek V4.1 Flash
DeepSeek · Max effort
The quickest full answer from a model scoring 38 or more.
Over 45 s at every tested setting
Claude Opus 5.5
Anthropic · High effort
The highest score of any model we compared at this setting.
MiMo-V2.6-Pro
Xiaomi · Standard effort
86% of Claude Opus 5.5's score for 7% of the cost.
DeepSeek V4.1 Flash
DeepSeek · Max effort
The quickest full answer from a model scoring 38 or more.
Each job favors a different model. Pick the one closest to yours.
Hard bugs, large refactors and code review
Use
Claude Opus 5.5
Anthropic · High effort
The highest intelligence score at everyday effort, and first on Artificial Analysis's Coding Agent Index (66, measured at max effort). It also costs less than Claude Fable 5.1: $296 per 1,000 tasks against $673.
Hard bugs, large refactors and code review
Use Claude Opus 5.5
The highest intelligence score at everyday effort, and first on Artificial Analysis's Coding Agent Index (66, measured at max effort). It also costs less than Claude Fable 5.1: $296 per 1,000 tasks against $673.
Background agents that run all day
Use MiMo-V2.6-Pro
$20.44 per 1,000 tasks, about 7% of what Claude Opus 5.5 costs. Each step takes about 61 seconds, which is fine when nobody is watching. It's MIT-licensed if you'd rather host it yourself.
Quick edits and questions while you code
Use DeepSeek V4.1 Flash
A full answer in 12 seconds for $33.05 per 1,000 tasks. It scores 39.5, so hand it the small stuff and keep the hard problems for Claude Opus 5.5.
Staying with OpenAI
Use GPT-6 Astra
The highest-scoring OpenAI model at everyday effort: 49.6 at medium effort, with a full answer in 15 seconds. GPT-6 Sol scores 44.1 for $109 per 1,000 tasks if cost matters more.
Boilerplate, tests and docs on a budget
Use GPT-6 Luna
$6.99 per 1,000 tasks, the cheapest model we'd still let write code. At 33.9 it's fine for routine work and weak on anything that needs reasoning.
Agents that call tools and run multi-step jobs
Tool calling and long tasks have their own trade-offs, so agents get a separate ranking.
Picking a coding model on OpenRouter
Our coding guide covers the OpenRouter picks, free options and how to configure your agent.
Each dot is a model. Higher scores better, further left is cheaper, so the best deals sit top left. The cost axis is logarithmic: every step left is a big saving. Hover a dot for its numbers.
Sort by the pillar you care about, and set your monthly volume to see the bill. Costs include each model's thinking tokens at the setting shown.
Claude Opus 5.5. At everyday effort it scores 53.6 against 51.2 for Claude Fable 5.1, and costs $296 per 1,000 tasks against $673. Claude Fable 5.1 is only worth it if you need answers faster: 29 seconds instead of 41 seconds.
Claude Sonnet 5 looks cheaper on list price ($2/$10 per million tokens against $4/$20), but at extra high effort it thinks so much that 1,000 tasks cost about $350, more than Claude Opus 5.5, for a score of 34.4.
Most coding agent calls are small: reading files, searching, simple edits. Send those to DeepSeek V4.1 Flash and keep Claude Opus 5.5 for planning and hard fixes. If four in five calls go to DeepSeek V4.1 Flash, 1,000 tasks cost about $85.55 instead of $296, roughly 71% less.
We compare every model on intelligence, real cost and time to answer, at the setting people run day to day: each model's strongest reasoning setting that gives a full answer within 45 seconds. Max effort scores higher (Claude Opus 5.5 goes from 53.6 to 57.6) but costs 3.3 times as much per task. Switch to Max effort above to compare.
Intelligence is the Artificial Analysis Intelligence Index at that setting. Artificial Analysis also runs a Coding Agent Index, which we quote where it helps, but it's only published at max effort and for about a dozen models, so we don't rank on it.
Cost starts from a typical coding task of 45,000 tokens, 60% of it reading code and 40% writing. We scale the writing part by how much each model actually wrote, thinking included, in Artificial Analysis's tests, so a model that thinks a lot pays for it.
Speed is the median time to a full answer in the same tests.
Best value is the most intelligence per dollar and fastest is the quickest full answer, both among models scoring 38 or more (within 30% of the leader). Neither pick goes to a model its maker has replaced.
Claude Opus 5.5 at high effort. It scores 53.6 on the Artificial Analysis Intelligence Index, the highest of any model at everyday settings, and leads the Coding Agent Index at 66. It costs about $296 per 1,000 tasks. For the most intelligence per dollar, MiMo-V2.6-Pro scores 46.3 for $20.44.
Claude Opus 5.5. At everyday effort it scores 53.6 against 51.2 for Claude Fable 5.1 and 34.4 for Claude Sonnet 5, and it's the cheapest of the three per task: $296 per 1,000 tasks, against $673 and $350.
GPT-6 Astra at medium effort scores 49.6 and answers in 15 seconds. GPT-6 Sol is the cheaper option at 44.1 for $109 per 1,000 tasks. GPT-6 Luna handles boilerplate for $6.99.
GPT-6 Luna, at about $6.99 per 1,000 tasks (list price $0.10/$0.50 per million tokens). It scores 33.9, fine for tests, docs and boilerplate. DeepSeek R1 is free on OpenRouter, but it scores 11 and is rate-limited, so it's only good for experiments.
DeepSeek V4.1 Flash, with a full answer in 12 seconds at max effort. It scores 39.5, so it suits quick edits and questions more than hard debugging.
Only for the hardest problems. Claude Opus 5.5 goes from 53.6 to 57.6 at max effort, but each task costs several times as much and answers can take minutes. For an agent that runs unattended on a tough bug that can be worth it; for everyday edits it isn't.
Answer three questions and get a pick for each part of your workload, with the monthly cost.