Claude Opus 5 vs DeepSeek V4 Pro 0813

At a Glance

Compare
Claude Opus 5Anthropic
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#3 of 4694.1 score · 3/3 sources · complete#20 of 4665.0 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#39 of 44$0.371 per LiveBench case#20 of 44$0.094 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#13 of 3857.6 score · 3/3 sources · complete#14 of 3857.4 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$5.00Anthropic · Sep 3, 2026$1.30Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$25.00Anthropic · Sep 3, 2026$2.60Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens1,000K1,049K
Model facts checkedAug 28, 2026View model evidence →Sep 3, 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 →
BenchmarkClaude Opus 5DeepSeek-V4-Pro-0813
ARC-AGI-1verified-v1-354e4ceb2669 · verified_score · leader97.50100% of row best · percent · Claude Opus 5 (Max)90.5093% of row best · percent · DeepSeek V4 Pro 0813 (Low)
ARC-AGI-2verified-v2-9d422cc0fd9e · verified_score · leader90.42100% of row best · percent · Claude Opus 5 (Max)61.2568% of row best · percent · DeepSeek V4 Pro 0813 (Max)
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader10.16100% of row best · score · Claude Opus 5 (Max); 95% CI [8.61078356, 11.71492901]; sessions 19934; observations 2534849; rank 44.1495% of row best · score · DeepSeek V4 Pro (High) (0813); 95% CI [3.35150819, 4.93122185]; sessions 47602; observations 4132769; rank 16
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,504.92100% of row best · rating · claude-opus-5-high; 95% CI [1500.70174969, 1509.13092375]; votes 42617; rank 31,443.9596% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 58
LiveBench2026-06-25 · overall · leader83.44100% of row best · percent · claude-opus-5-max-effort · 14,826 output tokens / case81.9198% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified88.76100% of row best · points · Claude Opus 5 (max effort) · 9,446 output tokens / case84.6895% of row best · points · DeepSeek V4 Pro 0813 (max) · 18,462 output tokens / case
Overall ResultCounted from the protocol-matched rows above5 benchmark winsOverall lead0 benchmark wins

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldClaude Opus 5DeepSeek-V4-Pro-0813
DeveloperAnthropicDeepSeek
FamilyClaude 5Deepseek V4 Pro
ModelClaude Opus 5DeepSeek-V4-Pro-0813
VersionClaude Opus 5DeepSeek-V4-Pro-0813
Lifecycleactiveactive
Released2026-07-242026-08-13
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,000K1,049K
Total parametersUnknown1.6T
Active parametersUnknown49B
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Standard), Deepinfra (Standard), Openrouter (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, coding, generation, reasoning, tools

Claude Opus 5 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDanthropic/claude-opus-5

DeepSeek V4 Pro 0813 Capabilities

agentschatcodinggenerationreasoningtools
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V4-Pro-0813

Primary Evidence

Sources and Freshness

Questions

Claude Opus 5 vs DeepSeek V4 Pro 0813 FAQs

Is Claude Opus 5 or DeepSeek V4 Pro 0813 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 5 and DeepSeek V4 Pro 0813, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Opus 5 or DeepSeek V4 Pro 0813?+

Claude Opus 5 is $5.00 and DeepSeek V4 Pro 0813 is $1.30 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric. Claude Opus 5 is $25.00 and DeepSeek V4 Pro 0813 is $2.60 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric.

Which has a larger context window, Claude Opus 5 or DeepSeek V4 Pro 0813?+

DeepSeek V4 Pro 0813 has the larger sourced context window. Claude Opus 5 supports 1,000K and DeepSeek V4 Pro 0813 supports 1,049K.

Which performs better in benchmarks, Claude Opus 5 or DeepSeek V4 Pro 0813?+

Claude Opus 5 leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can Claude Opus 5 or DeepSeek V4 Pro 0813 be self-hosted?+

DeepSeek V4 Pro 0813 is the only model in this pair currently marked as self-hostable. Claude Opus 5 is not marked open weight; DeepSeek V4 Pro 0813 is open weight.

Can Claude Opus 5 and DeepSeek V4 Pro 0813 understand images?+

Claude Opus 5 is documented with image input; DeepSeek V4 Pro 0813 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Opus 5 or DeepSeek V4 Pro 0813?+

Neither has a larger sourced maximum output. Claude Opus 5 is 128K and DeepSeek V4 Pro 0813 is —.

Do Claude Opus 5 and DeepSeek V4 Pro 0813 support reasoning and tool use?+

Claude Opus 5: reasoning, tool calling, and image input. DeepSeek V4 Pro 0813: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Opus 5 or DeepSeek V4 Pro 0813?+

Claude Opus 5 has 3 sourced provider routes; DeepSeek V4 Pro 0813 has 3, a tie.

Which offers better value, Claude Opus 5 or DeepSeek V4 Pro 0813?+

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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