Claude Mythos 5.1 vs DeepSeek V4 Pro Base

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic · Sep 2, 2026Not reported
Output priceFrom · USD / 1M tokens$50.00Anthropic · Sep 2, 2026Not reported
Context windowMaximum documented tokens1,000K1,049K
Model facts checkedSep 2, 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

FieldClaude Mythos 5.1DeepSeek-V4-Pro-Base
DeveloperAnthropicDeepSeek
FamilyClaude 5 1Deepseek V4 Pro Base
ModelClaude Mythos 5.1DeepSeek-V4-Pro-Base
VersionClaude Mythos 5.1DeepSeek-V4-Pro-Base
Lifecycleactiveactive
Released2026-09-012026-04-24
Knowledge cutoff2026-06-01Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,000K1,049K
Total parametersUnknown1.6T
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessAnthropic (Project Glasswing)Unknown
Capabilitieschat, generation, reasoning, toolsgeneration

Claude Mythos 5.1 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDanthropic/claude-mythos-5-1

DeepSeek V4 Pro Base Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Claude Mythos 5.1 vs DeepSeek V4 Pro Base FAQs

Is Claude Mythos 5.1 or DeepSeek V4 Pro Base better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Mythos 5.1 and DeepSeek V4 Pro Base, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Mythos 5.1 or DeepSeek V4 Pro Base?+

Only Claude Mythos 5.1 has a directly sourced input price: $10.00 per million tokens. Only Claude Mythos 5.1 has a directly sourced output price: $50.00 per million tokens.

Which has a larger context window, Claude Mythos 5.1 or DeepSeek V4 Pro Base?+

DeepSeek V4 Pro Base has the larger sourced context window. Claude Mythos 5.1 supports 1,000K and DeepSeek V4 Pro Base supports 1,049K.

Which performs better in benchmarks, Claude Mythos 5.1 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 Claude Mythos 5.1 or DeepSeek V4 Pro Base be self-hosted?+

DeepSeek V4 Pro Base is the only model in this pair currently marked as self-hostable. Claude Mythos 5.1 is not marked open weight; DeepSeek V4 Pro Base is open weight.

Can Claude Mythos 5.1 and DeepSeek V4 Pro Base understand images?+

Claude Mythos 5.1 is 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, Claude Mythos 5.1 or DeepSeek V4 Pro Base?+

Neither has a larger sourced maximum output. Claude Mythos 5.1 is 128K and DeepSeek V4 Pro Base is —.

Do Claude Mythos 5.1 and DeepSeek V4 Pro Base support reasoning and tool use?+

Claude Mythos 5.1: reasoning, tool calling, and image input. 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, Claude Mythos 5.1 or DeepSeek V4 Pro Base?+

Claude Mythos 5.1 has 1 sourced provider route; DeepSeek V4 Pro Base has 0, so Claude Mythos 5.1 has broader tracked availability.

Which offers better value, Claude Mythos 5.1 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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