Claude Opus 4.6 vs DeepSeek V4 Flash
At a Glance
| Compare | Claude Opus 4.6Anthropic |  DeepSeek V4 FlashDeepSeek |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #12 of 4676.2 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #33 of 44$0.241 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #19 of 3853.2 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $0.0868Openrouter ↗ · Aug 28, 2026 |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | $0.1736Openrouter ↗ · Aug 28, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,049K |
| Model facts checked | Sep 3, 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
| Benchmark | Claude Opus 4.6 | DeepSeek-V4-Flash |
|---|---|---|
| ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader | 94.00100% of row best · percent · Claude Opus 4.6 (120K, High) | 89.0095% of row best · percent · DeepSeek V4 Flash 0731 (Max) |
| ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader | 69.17100% of row best · percent · Claude Opus 4.6 (120K, High) | 61.3989% of row best · percent · DeepSeek V4 Flash 0731 (Max) |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,497.54100% of row best · rating · claude-opus-4-6; 95% CI [1494.14263199, 1500.94441396]; votes 75878; rank 5 | 1,431.7996% of row best · rating · deepseek-v4-flash; 95% CI [1427.66110387, 1435.91557810]; votes 48887; rank 83 |
| LiveBench2026-06-25 · overall · leader | 78.69100% of row best · percent · claude-opus-4-6-thinking-auto-high-effort · 9,651 output tokens / case | 69.6789% of row best · percent · deepseek-v4-flash · 34,434 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 84.21100% of row best · points · Claude Opus 4.6 · 13,556 output tokens / case | 78.0093% of row best · points · DeepSeek V4 Flash (xhigh) · 12,709 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 4 benchmark winsOverall lead | 0 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
| Field | Claude Opus 4.6 | DeepSeek-V4-Flash |
|---|---|---|
| Developer | Anthropic | DeepSeek |
| Family | Claude 4 | Deepseek V4 Flash |
| Model | Claude Opus 4.6 | DeepSeek-V4-Flash |
| Version | Claude Opus 4.6 | DeepSeek-V4-Flash |
| Lifecycle | active | retired |
| Released | 2026-02-05 | 2026-04-24 |
| Knowledge cutoff | 2025-05-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,049K |
| Total parameters | Unknown | 290.9B |
| Active parameters | Unknown | 13B |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard) | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning |
Claude Opus 4.6 Capabilities
DeepSeek V4 Flash Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.6 vs DeepSeek V4 Flash FAQs
Is Claude Opus 4.6 or DeepSeek V4 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.6 and DeepSeek V4 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.6 or DeepSeek V4 Flash?+
Claude Opus 4.6 is $5.00 and DeepSeek V4 Flash is $0.0868 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. Claude Opus 4.6 is $25.00 and DeepSeek V4 Flash is $0.1736 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.
Which has a larger context window, Claude Opus 4.6 or DeepSeek V4 Flash?+
DeepSeek V4 Flash has the larger sourced context window. Claude Opus 4.6 supports 1,000K and DeepSeek V4 Flash supports 1,049K.
Which performs better in benchmarks, Claude Opus 4.6 or DeepSeek V4 Flash?+
Claude Opus 4.6 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can Claude Opus 4.6 or DeepSeek V4 Flash be self-hosted?+
DeepSeek V4 Flash is the only model in this pair currently marked as self-hostable. Claude Opus 4.6 is not marked open weight; DeepSeek V4 Flash is open weight.
Can Claude Opus 4.6 and DeepSeek V4 Flash understand images?+
Claude Opus 4.6 is documented with image input; DeepSeek V4 Flash is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.6 or DeepSeek V4 Flash?+
Neither has a larger sourced maximum output. Claude Opus 4.6 is 128K and DeepSeek V4 Flash is —.
Do Claude Opus 4.6 and DeepSeek V4 Flash support reasoning and tool use?+
Claude Opus 4.6: reasoning, tool calling, and image input. DeepSeek V4 Flash: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.6 or DeepSeek V4 Flash?+
Claude Opus 4.6 has 1 sourced provider route; DeepSeek V4 Flash has 5, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, Claude Opus 4.6 or DeepSeek V4 Flash?+
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.