Claude Opus 5.5 is the best AI for research and data analysis. MiMo-V2.6-Pro comes close for 7% of the cost, and Grok 4.7 answers fastest.
Claude Opus 5.5 is the best AI for research and data analysis. MiMo-V2.6-Pro comes close for 7% of the cost, and Grok 4.7 answers fastest.
25 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.
Grok 4.7
SpaceXAI · Extra high 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.
Grok 4.7
SpaceXAI · Extra high effort
The quickest full answer from a model scoring 38 or more.
Each job favors a different model. Pick the one closest to yours.
Literature reviews and deep research questions
Use
Claude Opus 5.5
Anthropic · High effort
The strongest reasoning at everyday effort, for questions where you need the model to weigh sources and notice what's missing. $131 per 1,000 tasks.
Literature reviews and deep research questions
Use Claude Opus 5.5
The strongest reasoning at everyday effort, for questions where you need the model to weigh sources and notice what's missing. $131 per 1,000 tasks.
Summarizing and tagging sources in bulk
Use MiMo-V2.6-Pro
$9.09 per 1,000 tasks, about 7% of what Claude Opus 5.5 costs. About 61 seconds per answer, so run it as a batch.
Quick fact checks while you write
Use Grok 4.7
A full answer in about 12 seconds. It scores 46.4, so check anything important against the source.
Staying with OpenAI
Use GPT-6 Astra
The highest-scoring OpenAI model at everyday effort: 49.6, with a full answer in 15 seconds.
Long reports and PDFs
Reading and summarizing documents has its own ranking, with costs per document.
Research agents that search and browse
Agents that run many steps on their own have their own trade-offs, mostly speed per step.
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 for analysis that needs judgment: spotting what a dataset can't tell you, or why two numbers disagree. MiMo-V2.6-Pro handles routine reporting for $9.09 per 1,000 tasks.
For calculations, ask the model to write and run code on your data instead of doing the math in its reply. Code gives you a result you can rerun and check.
Every model on this page can state things confidently that aren't true. For research, ask for sources with every claim, open the important ones, and prefer tools that search the web over a model answering from memory. A higher score means fewer mistakes, not none.
Research and analysis both come down to careful reasoning over a lot of input. We compare every model at the setting people run day to day: its strongest reasoning setting that gives a full answer within 45 seconds in Artificial Analysis's tests. Switch to Max effort above for the benchmark numbers.
Intelligence is the Artificial Analysis Intelligence Index at that setting. It covers reasoning, knowledge and science questions, which is what research and analysis lean on. It doesn't test web search, since that depends on the app around the model.
Cost starts from a typical research task of 20,000 tokens, 60% of it sources and context and 40% the answer. We scale the output by how much each model 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 at everyday settings, and costs about $131 per 1,000 research tasks. MiMo-V2.6-Pro gives the most intelligence per dollar at $9.09.
Claude Opus 5.5 for analysis that needs judgment, and MiMo-V2.6-Pro for routine reporting at $9.09 per 1,000 tasks. For calculations, have the model write and run code rather than do the arithmetic in its answer.
Claude Opus 5.5. At everyday effort it scores 53.6 against 51.2 for Claude Fable 5.1, and costs $131 per 1,000 tasks against $299. 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 $155, more than Claude Opus 5.5, for a score of 34.4.
Grok 4.7, with a full answer in about 12 seconds. It scores 46.4, so use it for quick checks and verify important facts.
Only with checking. Every model can state false things with confidence. Ask for sources, open the ones that matter, and prefer tools that search the web over answers from memory.
Answer three questions and get a pick for each part of your workload, with the monthly cost.