DeepSeek R1 vs Qwen3-Max
DeepSeek R1 (2025) and Qwen3-Max (2025) are frontier reasoning models from DeepSeek and Alibaba. DeepSeek R1 ships a 128k-token context window, while Qwen3-Max ships a 262k-token context window. On SWE-bench Verified, Qwen3-Max leads by 29.6 pts. On pricing, DeepSeek R1 costs $0.10/1M input tokens; Qwen3-Max ranges from $1.20 to $3/1M input tokens by tier. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3-Max is safer overall; choose DeepSeek R1 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 | Qwen3-Max |
|---|---|---|
| Best for | reasoning-heavy apps and provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 262k |
| Cheapest output | $0.30/1M tokens | $3.90/1M tokens |
| Provider routes | 14 tracked | 3 tracked |
| Shared benchmarks | 1 shared | SWE-bench Verified leader |
Decision tradeoffs
- DeepSeek R1 has the lower cheapest tracked output price at $0.30/1M tokens.
- DeepSeek R1 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek R1 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags DeepSeek R1 for Coding, RAG, and Agents.
- Qwen3-Max holds a shared-benchmark lead on SWE-bench Verified, ahead by 29.6 points.
- Qwen3-Max has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3-Max uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Qwen3-Max 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.
DeepSeek R1
$155
Cheapest tracked route/tier: Bitdeer AI
Qwen3-Max
$1,599
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,444. 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.
- Qwen3-Max is $3.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Qwen3-Max adds Vision, Multimodal, and JSON / Tool use in local capability data.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek R1 is $3.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- DeepSeek R1 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-20 | 2025-04-28 |
| Context window | 128k | 262k |
| Parameters | 671B, 37B Active | — |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Weights | Available | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2023-12 | 2025-12 |
Pricing and availability
| Pricing attribute | DeepSeek R1 | Qwen3-Max |
|---|---|---|
| Input price | $0.10/1M tokens |
|
| Output price | $0.30/1M tokens |
|
| Providers |
Capabilities
| Capability | DeepSeek R1 | Qwen3-Max |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek R1 | Qwen3-Max |
|---|---|---|
| SWE-bench Verified | 49.2 | 78.8 |
Continue comparing
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.