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// alternatives · October 2026

Sonar Deep Research alternatives

Cheaper models that come close, budget substitutes, and the cheapest step up — chosen on published LiveBench scores and live list price, never on our opinion.

LiveBench hasn't published a run for Sonar Deep Research. The strongest benchmarked model at a similar or lower price is GPT-6.1 Sol, scoring 84.1 overall.

Sonar Deep Research: no published LiveBench run, $3.50 per 1M blended tokens, about $2,080/mo for a RAG assistant.

Benchmarked models at or below its price

Sonar Deep Research has no published LiveBench run, so these are the highest-scoring benchmarked models priced no more than 25% above it — a known quantity to test against.

ModelOverallvs Sonar Deep ResearchBlended / 1MRAG assistantContext
GPT-6.1 Solopenai

14% more expensive. Head to head →

84.1—$4.00$1,440/mo1.1M
Claude Sonnet 5.5anthropic

14% more expensive. Head to head →

80.0—$4.00$1,440/mo1M
Gemini 4 Argongoogle

14% more expensive. Head to head →

79.3—$4.00$1,440/mo1.0M
GPT-6.1 Terraopenai

43% cheaper. Head to head →

77.8—$2.00−43%$720.00/mo1.1M
DeepSeek V4.1 Flash 1017deepseek

85% cheaper. Head to head →

74.0—$0.525−85%$194.40/mo1.0M
Kimi K3.1 Promoonshotai

14% more expensive. Head to head →

71.3—$4.00$1,480/mo1.0M

Sonar Deep Research alternatives FAQ

What is the best alternative to Sonar Deep Research?

GPT-6.1 Sol. 14% more expensive.

How alternatives are chosen

  • Scores — LiveBench release 2026-10-25. Only models with a published run are suggested on quality; a missing model means “not evaluated”, not “worse”.
  • Prices — live list prices from OpenRouter, blended 3:1 input:output. Monthly figures price a RAG assistant with the published cached-input rate where there is one.
  • Same job — suggestions must support every capability Sonar Deep Research has among tool calling and image input. Other listings of the same model (free or batch tiers) are variants, not alternatives, and are left out.

A few points on a public benchmark can hide large differences on your own tasks. Shortlist here, then decide with an eval — how to build one.