Claude Opus 5.5 vs DeepSeek V3.2

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$4.00Anthropic · Sep 22, 2026$0.26Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$20.00Anthropic · Sep 22, 2026$0.38Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens1,000K164K
Model facts checkedSep 22, 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 Opus 5.5DeepSeek-V3.2
DeveloperAnthropicDeepSeek
FamilyClaude 5 5Deepseek V3 2
ModelClaude Opus 5.5DeepSeek-V3.2
VersionClaude Opus 5.5DeepSeek-V3.2
Lifecycleactiveactive
Released2026-09-222025-12-01
Knowledge cutoff2026-06-01Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,000K164K
Total parametersUnknown685.4B
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning
Message Batches max output (beta)300000 tokensUnknown
Default effortmediumUnknown
Retirement commitmentNot sooner than September 22, 2027Unknown
ThinkingAdaptive (always on)Unknown

Claude Opus 5.5 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDanthropic/claude-opus-5-5

DeepSeek V3.2 Capabilities

chatgenerationreasoning
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V3.2

Primary Evidence

Sources and Freshness

Questions

Claude Opus 5.5 vs DeepSeek V3.2 FAQs

Is Claude Opus 5.5 or DeepSeek V3.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 5.5 and DeepSeek V3.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Opus 5.5 or DeepSeek V3.2?+

Claude Opus 5.5 is $4.00 and DeepSeek V3.2 is $0.26 per million tokens, so DeepSeek V3.2 is cheaper on this metric. Claude Opus 5.5 is $20.00 and DeepSeek V3.2 is $0.38 per million tokens, so DeepSeek V3.2 is cheaper on this metric.

Which has a larger context window, Claude Opus 5.5 or DeepSeek V3.2?+

Claude Opus 5.5 has the larger sourced context window. Claude Opus 5.5 supports 1,000K and DeepSeek V3.2 supports 164K.

Which performs better in benchmarks, Claude Opus 5.5 or DeepSeek V3.2?+

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

Can Claude Opus 5.5 or DeepSeek V3.2 be self-hosted?+

DeepSeek V3.2 is the only model in this pair currently marked as self-hostable. Claude Opus 5.5 is not marked open weight; DeepSeek V3.2 is open weight.

Can Claude Opus 5.5 and DeepSeek V3.2 understand images?+

Claude Opus 5.5 is documented with image input; DeepSeek V3.2 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Opus 5.5 or DeepSeek V3.2?+

Neither has a larger sourced maximum output. Claude Opus 5.5 is 128K and DeepSeek V3.2 is —.

Do Claude Opus 5.5 and DeepSeek V3.2 support reasoning and tool use?+

Claude Opus 5.5: reasoning, tool calling, and image input. DeepSeek V3.2: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Opus 5.5 or DeepSeek V3.2?+

Claude Opus 5.5 has 1 sourced provider route; DeepSeek V3.2 has 3, so DeepSeek V3.2 has broader tracked availability.

Which offers better value, Claude Opus 5.5 or DeepSeek V3.2?+

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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