SolBest qualityDifficult, important professional workMaximum
TerraEveryday choiceStrong balance for daily workBalanced
LunaFast & affordableSimple, repetitive, high-volume tasksValue
Model guide · Plain-English recommendations
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MODEL NAMES, TRANSLATED
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Different companies use different names. TopLLM turns them into the same simple choices.
FableMaximum capabilityAmbitious, long-running workMaximum
OpusDifficult daily workResearch, coding, professional decisionsPowerful
SonnetEveryday professionalDaily work and agents at scaleBalanced
MythosRestricted specialistVetted cyber and biology researchLimited
ProComplex problemsAdvanced reasoning and difficult workPreview
FlashEveryday choiceFast, capable, multimodal workBalanced
Flash-LiteFast & affordableFrequent, lightweight tasksValue
SpecialistsImage, voice & videoPurpose-built creative modelsCreative
MaxMost capableHard reasoning and important workMaximum
PlusEveryday workStrong general-purpose helpBalanced
OpenRun it yourselfFlexible open-weight optionsOpen
RThink harderDeliberate reasoning and complex analysisReasoning
VEveryday workGeneral writing, chat, and codingBalanced
OpenRun it yourselfPrivate and flexible deploymentsOpen
FlagshipHard professional workComplex tasks and long projectsMaximum
AirEveryday choiceCapable work at a practical costBalanced
FlashFast & affordableFrequent, straightforward requestsValue
LargeBest local qualityWhen your own hardware can handle itOpen
Mid-sizePractical local workUseful balance of speed and qualityBalanced
SmallLightweight tasksOn-device and high-volume workValue
QUICK ANSWERS
How do I choose an AI model?
Start with the work you need done, then choose the balance of quality, speed, and cost that feels right.
What should I use for everyday work?
Choose a balanced model for writing, summaries, research, and routine tasks. It is usually the best place to start.
Find an everyday model →When should I pay for a stronger model?
Use a higher-capability model for complex reasoning, important decisions, difficult coding, or work you will review carefully.
Compare stronger models →How can I check the evidence?
Every model record separates published facts, benchmark results, and TopLLM’s task-fit guidance so you can judge the trade-offs.
Read how TopLLM works →WANT THE DETAILS?
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DATA SOURCES
Open-source inputs · internal benchmark registry · source-linked records
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Side-by-side results across benchmarks, capabilities, and pricing.
OGPT-5.6 SolOpenAIvsAClaude Opus 5Anthropic
Overall——
Coding——
Reasoning——
Speed—+—
Price (1M tokens)$2.00↓$5.00
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OGPT-5.6 SolOpenAISelected record
Benchmark registry
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◉ Context window Not reported✦ Max output Not reported◌ Knowledge cutoff Not reportedϟ API pricing (1M tokens) Not reported
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SERVER-RENDERED MODEL PAGE
Claude Sonnet 4
Claude Sonnet 4 by Anthropic. Anthropic announcement. SWE-bench and provider evaluations.
TopLLM Fit 94%Reasoning 95%Coding 95%Context 200KInput $3.00
Source-linked records are retained for every factual metric.