Sonar Deep Research vs Qwen3.7 Plus

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Openrouter · Sep 22, 2026$0.32Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$8.00Openrouter · Sep 22, 2026$1.28Openrouter · Sep 22, 2026
Context windowMaximum documented tokens128K1,000K
Model facts checkedAug 29, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldSonar Deep ResearchQwen3.7-Plus
DeveloperPerplexityQwen
FamilySonarQwen3 7 Plus
ModelSonar Deep ResearchQwen3.7-Plus
VersionSonar Deep ResearchQwen3.7-Plus
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context window128K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenrouter (Standard), Perplexity (Standard)Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, citations, reasoning, research, searchagents, chat, computer-use, reasoning, structured_outputs, tools, vision

Sonar Deep Research Capabilities

chatcitationsreasoningresearchsearch
Serving providers2
Canonical IDperplexity/sonar-deep-research

Qwen3.7 Plus Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDqwen/qwen3.7-plus

Primary Evidence

Sources and Freshness

Questions

Sonar Deep Research vs Qwen3.7 Plus FAQs

Is Sonar Deep Research or Qwen3.7 Plus better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Sonar Deep Research and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Sonar Deep Research or Qwen3.7 Plus?+

Sonar Deep Research is $2.00 and Qwen3.7 Plus is $0.32 per million tokens, so Qwen3.7 Plus is cheaper on this metric. Sonar Deep Research is $8.00 and Qwen3.7 Plus is $1.28 per million tokens, so Qwen3.7 Plus is cheaper on this metric.

Which has a larger context window, Sonar Deep Research or Qwen3.7 Plus?+

Qwen3.7 Plus has the larger sourced context window. Sonar Deep Research supports 128K and Qwen3.7 Plus supports 1,000K.

Which performs better in benchmarks, Sonar Deep Research or Qwen3.7 Plus?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Sonar Deep Research or Qwen3.7 Plus be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Sonar Deep Research is not marked open weight; Qwen3.7 Plus is not marked open weight.

Can Sonar Deep Research and Qwen3.7 Plus understand images?+

Sonar Deep Research is not documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Sonar Deep Research or Qwen3.7 Plus?+

Neither has a larger sourced maximum output. Sonar Deep Research is — and Qwen3.7 Plus is 131K.

Do Sonar Deep Research and Qwen3.7 Plus support reasoning and tool use?+

Sonar Deep Research: reasoning. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Sonar Deep Research or Qwen3.7 Plus?+

Sonar Deep Research has 2 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.

Which offers better value, Sonar Deep Research or Qwen3.7 Plus?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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