DeepSeek V4 Pro Base vs Qwen3.7 Plus

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.32Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$1.28Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K1,000K
Model facts checkedAug 28, 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

FieldDeepSeek-V4-Pro-BaseQwen3.7-Plus
DeveloperDeepSeekQwen
FamilyDeepseek V4 Pro BaseQwen3 7 Plus
ModelDeepSeek-V4-Pro-BaseQwen3.7-Plus
VersionDeepSeek-V4-Pro-BaseQwen3.7-Plus
Lifecycleactiveactive
Released2026-04-24Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context window1,049K1,000K
Total parameters1.6TUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownAlibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesgenerationagents, chat, computer-use, reasoning, structured_outputs, tools, vision

DeepSeek V4 Pro Base Capabilities

generation
Serving providers0
Canonical IDdeepseek-ai/DeepSeek-V4-Pro-Base

Qwen3.7 Plus Capabilities

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

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Pro Base vs Qwen3.7 Plus FAQs

Is DeepSeek V4 Pro Base or Qwen3.7 Plus better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Pro Base or Qwen3.7 Plus?+

Only Qwen3.7 Plus has a directly sourced input price: $0.32 per million tokens. Only Qwen3.7 Plus has a directly sourced output price: $1.28 per million tokens.

Which has a larger context window, DeepSeek V4 Pro Base or Qwen3.7 Plus?+

DeepSeek V4 Pro Base has the larger sourced context window. DeepSeek V4 Pro Base supports 1,049K and Qwen3.7 Plus supports 1,000K.

Which performs better in benchmarks, DeepSeek V4 Pro Base 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 DeepSeek V4 Pro Base or Qwen3.7 Plus be self-hosted?+

DeepSeek V4 Pro Base is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro Base is open weight; Qwen3.7 Plus is not marked open weight.

Can DeepSeek V4 Pro Base and Qwen3.7 Plus understand images?+

DeepSeek V4 Pro Base 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, DeepSeek V4 Pro Base or Qwen3.7 Plus?+

Neither has a larger sourced maximum output. DeepSeek V4 Pro Base is — and Qwen3.7 Plus is 131K.

Do DeepSeek V4 Pro Base and Qwen3.7 Plus support reasoning and tool use?+

DeepSeek V4 Pro Base: none of these features are definitively sourced. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Pro Base or Qwen3.7 Plus?+

DeepSeek V4 Pro Base has 0 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.

Which offers better value, DeepSeek V4 Pro Base 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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