Claude Opus 4.6 vs DeepSeek V4 Pro
Claude Opus 4.6 (2026) and DeepSeek V4 Pro (2026) are frontier-tier reasoning models from Anthropic and DeepSeek. Claude Opus 4.6 ships a 1m-token context window, while DeepSeek V4 Pro ships a 1m-token context window. On MMLU PRO, Claude Opus 4.6 leads by 1.6 pts. On pricing, DeepSeek V4 Pro costs $0.43/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V4 Pro is ~1049% cheaper at $0.43/1M; pay for Claude Opus 4.6 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude Opus 4.6 | DeepSeek V4 Pro |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, tool-calling agents, and long-context analysis |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1m |
| Cheapest output | $25/1M tokens | $0.87/1M tokens |
| Provider routes | 6 tracked | 5 tracked |
| Shared benchmarks | MMLU PRO leader | 12 shared |
Decision tradeoffs
- Claude Opus 4.6 holds a shared-benchmark lead on MMLU PRO, ahead by 1.6 points.
- Claude Opus 4.6 has broader tracked provider coverage for fallback and route flexibility.
- Claude Opus 4.6 uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags Claude Opus 4.6 for Coding, RAG, and Agents.
- DeepSeek V4 Pro holds a shared-benchmark lead on SWE-bench Pro, ahead by 2 points.
- DeepSeek V4 Pro has the lower cheapest tracked output price at $0.87/1M tokens.
- Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude Opus 4.6
$10,250
Cheapest tracked route/tier: Anthropic
DeepSeek V4 Pro
$566
Cheapest tracked route/tier: DeepSeek Platform
Estimated monthly gap: $9,685. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek V4 Pro is $24.13/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Claude Opus 4.6 is $24.13/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude Opus 4.6 adds Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-05 | 2026-04-24 |
| Context window | 1m | 1m |
| Parameters | — | 1.6T |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | MITOSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| Pricing attribute | Claude Opus 4.6 | DeepSeek V4 Pro |
|---|---|---|
| Input price | $5/1M tokens | $0.43/1M tokens |
| Output price | $25/1M tokens | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | Claude Opus 4.6 | DeepSeek V4 Pro |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Claude Opus 4.6 | DeepSeek V4 Pro |
|---|---|---|
| MMLU PRO | 89.1 | 87.5 |
| SWE-bench Verified | 80.8 | 80.6 |
| SWE-bench Pro | 53.4 | 55.4 |
| Google-Proof Q&A | 91.3 | 90.1 |
| LiveCodeBench | 70.2 | 93.5 |
| Humanity's Last Exam | 53.0 | 37.7 |
| HumanEval | 95.0 | 76.8 |
| Chatbot Arena | 1501.0 | 1456.0 |
| MCP-Atlas | 62.7 | 69.4 |
| Terminal-Bench 2.0 | 65.4 | 59.1 |
| Massive Multitask Language Understanding | 91.1 | 90.1 |
| BrowseComp | 84.0 | 83.4 |
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Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.