Qwen3.8 2.4T A95B vs DeepSeek V4 Pro Base

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Deepinfra · Sep 21, 2026Not reported
Output priceFrom · USD / 1M tokens$6.00Deepinfra · Sep 21, 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

FieldQwen3.8-2.4T-A95BDeepSeek-V4-Pro-Base
DeveloperQwenDeepSeek
FamilyQwen3 8 2 4t A95bDeepseek V4 Pro Base
ModelQwen3.8-2.4T-A95BDeepSeek-V4-Pro-Base
VersionQwen3.8-2.4T-A95BDeepSeek-V4-Pro-Base
Lifecycleactiveactive
ReleasedUnknown2026-04-24
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window262K1,049K
Total parameters2.4T1.6T
Active parameters95BUnknown
LicenseotherUnknown
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, toolsgeneration

Qwen3.8 2.4T A95B Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDQwen/Qwen3.8-2.4T-A95B

DeepSeek V4 Pro Base Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 2.4T A95B vs DeepSeek V4 Pro Base FAQs

Is Qwen3.8 2.4T A95B or DeepSeek V4 Pro Base better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and DeepSeek V4 Pro Base, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 2.4T A95B or DeepSeek V4 Pro Base?+

Only Qwen3.8 2.4T A95B has a directly sourced input price: $2.00 per million tokens. Only Qwen3.8 2.4T A95B has a directly sourced output price: $6.00 per million tokens.

Which has a larger context window, Qwen3.8 2.4T A95B or DeepSeek V4 Pro Base?+

DeepSeek V4 Pro Base has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and DeepSeek V4 Pro Base supports 1,049K.

Which performs better in benchmarks, Qwen3.8 2.4T A95B or DeepSeek V4 Pro Base?+

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

Can Qwen3.8 2.4T A95B or DeepSeek V4 Pro Base be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3.8 2.4T A95B is open weight; DeepSeek V4 Pro Base is open weight.

Can Qwen3.8 2.4T A95B and DeepSeek V4 Pro Base understand images?+

Qwen3.8 2.4T A95B is not documented with image input; DeepSeek V4 Pro Base is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 2.4T A95B or DeepSeek V4 Pro Base?+

Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and DeepSeek V4 Pro Base is —.

Do Qwen3.8 2.4T A95B and DeepSeek V4 Pro Base support reasoning and tool use?+

Qwen3.8 2.4T A95B: reasoning and tool calling. DeepSeek V4 Pro Base: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 2.4T A95B or DeepSeek V4 Pro Base?+

Qwen3.8 2.4T A95B has 5 sourced provider routes; DeepSeek V4 Pro Base has 0, so Qwen3.8 2.4T A95B has broader tracked availability.

Which offers better value, Qwen3.8 2.4T A95B or DeepSeek V4 Pro 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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