Best LLM for Reasoning in 2026
When the task is genuinely hard — multi-step reasoning, math, complex analysis — raw model intelligence matters more than price. This ranking is led by the highest-scoring models on the Artificial Analysis Intelligence Index, so you get the sharpest reasoners available on Ofox.
Recommended models
moonshotai/kimi-k3 · Moonshotqwen/qwen3.8-27b · dashscopeopenai/gpt-6.1-terra · OpenAIopenai/gpt-6-luna · OpenAIx-ai/grok-4.7 · xAIgoogle/gemini-4-hydrogen · googleNeed something more specific?
Open the interactive finder with this scenario pre-filled, then adjust your priorities and required capabilities to fine-tune the shortlist.
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Scoring weights
- Quality
- 55%
- Cost
- 6%
- Speed
- 5%
- Task fit
- 34%
Benchmark reference · 2026-07
Artificial Analysis Intelligence Index
Try your own task
Test shortlisted models on the same input. Compare correctness, consistency and actual usage cost; a larger context window does not guarantee memory or better answers.
Continue with · Ofox ChatWhat the score can tell you
Match scores combine catalog data, available benchmark references and heuristics. Quality includes release age. Speed uses throughput data where available and estimates otherwise; it is not measured request latency. Missing benchmarks use model-family heuristics. These are recommendations, not task-specific test results. Catalog updates do not mean the benchmark references have been updated.
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Frequently asked questions
How does the Model Finder pick models?+
Text, image and embedding candidates are scored using task-specific rules and available references. Video, speech and transcription candidates are listed by model ID without a comparative score; no cross-modal quality ranking is implied.
Is it free? Do I need an account?+
Yes, it's completely free and runs in your browser — no login or API key needed to get recommendations. You only need an Ofox account when you're ready to actually call a model.
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Models come from the Ofox catalog. Availability and metadata can change; catalog refreshes do not refresh benchmark references. Check the model detail page before use.
Why doesn't the cheapest model always rank first?+
Unless you pick 'Lowest cost', the finder balances price against quality and capability. A model that costs a little more but is much more capable will often score higher — just like a person would choose.
Can I use the recommended models with my existing code?+
Integration depends on the model and task. Video, speech and transcription can use different endpoints, parameters and billing units. Follow the selected model’s documentation; changing only an API key and base URL may not be enough.