Qwen3.5 397B A17B vs DeepSeek V4 Flash Base

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$3.00Deepinfra · Sep 22, 2026Not reported
Context windowMaximum documented tokens262K1,049K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 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

FieldQwen3.5-397B-A17BDeepSeek-V4-Flash-Base
DeveloperQwenDeepSeek
FamilyQwen3 5 397b A17bDeepseek V4 Flash Base
ModelQwen3.5-397B-A17BDeepSeek-V4-Flash-Base
VersionQwen3.5-397B-A17BDeepSeek-V4-Flash-Base
Lifecycleactiveactive
Released2026-02-152026-04-24
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window262K1,049K
Total parameters403.4B292B
Active parameters17BUnknown
Licenseapache-2.0Unknown
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, toolsgeneration

Qwen3.5 397B A17B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-397B-A17B

DeepSeek V4 Flash Base Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs DeepSeek V4 Flash Base FAQs

Is Qwen3.5 397B A17B or DeepSeek V4 Flash Base better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and DeepSeek V4 Flash Base, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or DeepSeek V4 Flash Base?+

Only Qwen3.5 397B A17B has a directly sourced input price: $0.45 per million tokens. Only Qwen3.5 397B A17B has a directly sourced output price: $3.00 per million tokens.

Which has a larger context window, Qwen3.5 397B A17B or DeepSeek V4 Flash Base?+

DeepSeek V4 Flash Base has the larger sourced context window. Qwen3.5 397B A17B supports 262K and DeepSeek V4 Flash Base supports 1,049K.

Which performs better in benchmarks, Qwen3.5 397B A17B or DeepSeek V4 Flash Base?+

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

Can Qwen3.5 397B A17B or DeepSeek V4 Flash Base be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3.5 397B A17B is open weight; DeepSeek V4 Flash Base is open weight.

Can Qwen3.5 397B A17B and DeepSeek V4 Flash Base understand images?+

Qwen3.5 397B A17B is documented with image input; DeepSeek V4 Flash Base is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 397B A17B or DeepSeek V4 Flash Base?+

Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and DeepSeek V4 Flash Base is —.

Do Qwen3.5 397B A17B and DeepSeek V4 Flash Base support reasoning and tool use?+

Qwen3.5 397B A17B: reasoning, tool calling, and image input. DeepSeek V4 Flash Base: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 397B A17B or DeepSeek V4 Flash Base?+

Qwen3.5 397B A17B has 4 sourced provider routes; DeepSeek V4 Flash Base has 0, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3.5 397B A17B or DeepSeek V4 Flash Base?+

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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