DeepSeek V4 Pro vs Qwen3-Max
DeepSeek V4 Pro (2026) and Qwen3-Max (2025) are frontier reasoning models from DeepSeek and Alibaba. DeepSeek V4 Pro ships a 1m-token context window, while Qwen3-Max ships a 262k-token context window. On SWE-bench Verified, DeepSeek V4 Pro leads by 1.8 pts. 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 safer overall; choose Qwen3-Max when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Pro | Qwen3-Max |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 262k |
| Cheapest output | $0.87/1M tokens | $3.90/1M tokens |
| Provider routes | 5 tracked | 3 tracked |
| Shared benchmarks | SWE-bench Verified leader | 1 rows |
Decision tradeoffs
- DeepSeek V4 Pro holds a shared-benchmark lead on SWE-bench Verified, ahead by 1.8 points.
- DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V4 Pro has the lower cheapest tracked output price at $0.87/1M tokens.
- DeepSeek V4 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek V4 Pro uniquely exposes Reasoning in local model data.
- Qwen3-Max uniquely exposes Vision and Multimodal 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 V4 Pro
$566
Cheapest tracked route/tier: DeepSeek Platform
Qwen3-Max
$1,599
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,034. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, Vercel AI Gateway, and Novita AI; start route-level A/B tests there.
- Qwen3-Max is $3.03/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
- Qwen3-Max adds Vision and Multimodal in local capability data.
- Provider overlap exists on OpenRouter, Vercel AI Gateway, and Novita AI; start route-level A/B tests there.
- DeepSeek V4 Pro is $3.03/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- DeepSeek V4 Pro adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-24 | 2025-04-28 |
| Context window | 1m | 262k |
| Parameters | 1.6T | — |
| Architecture | Mixture of Experts (MoE) with CSA+HCA hybrid attention | decoder only |
| License | MIT(OSI) | Apache 2.0(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | - | 2025-12 |
Pricing and availability
| Pricing attribute | DeepSeek V4 Pro | Qwen3-Max |
|---|---|---|
| Input price | $0.43/1M tokens |
|
| Output price | $0.87/1M tokens |
|
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | Qwen3-Max |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V4 Pro | Qwen3-Max |
|---|---|---|
| SWE-bench Verified | 80.6 | 78.8 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has DeepSeek V4 Pro at 80.6 and Qwen3-Max at 78.8, with DeepSeek V4 Pro ahead by 1.8 points. The largest visible gap is 1.8 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Qwen3-Max, multimodal input: Qwen3-Max, and reasoning mode: DeepSeek V4 Pro. Both models share function calling, tool use, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, DeepSeek V4 Pro lists $0.43/1M input and $0.87/1M output tokens on the cheapest tracked provider, while Qwen3-Max lists tiered pricing: 0-32,001t is $1.20/1M input and $6/1M output; 0-128,001t is $2.40/1M input and $12/1M output; 128,001t+ is $3/1M input and $15/1M output. A 70/30 input-output blend puts DeepSeek V4 Pro lower by about $1.15 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 5 providers versus 3, so concentration risk also matters.
Choose DeepSeek V4 Pro when reasoning depth, larger context windows, and lower input-token cost are central to the workload. Choose Qwen3-Max when vision-heavy evaluation are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, DeepSeek V4 Pro or Qwen3-Max?
DeepSeek V4 Pro supports 1m tokens, while Qwen3-Max supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek V4 Pro or Qwen3-Max?
DeepSeek V4 Pro lists $0.43/1M input and $0.87/1M output tokens on the cheapest tracked provider. Qwen3-Max lists tiered pricing: 0-32,001t is $1.20/1M input and $6/1M output; 0-128,001t is $2.40/1M input and $12/1M output; 128,001t+ is $3/1M input and $15/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V4 Pro or Qwen3-Max open source?
DeepSeek V4 Pro is listed under MIT. Qwen3-Max is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, DeepSeek V4 Pro or Qwen3-Max?
Qwen3-Max has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, DeepSeek V4 Pro or Qwen3-Max?
Qwen3-Max has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V4 Pro and Qwen3-Max?
DeepSeek V4 Pro is available on DeepSeek Platform, Fireworks AI, OpenRouter, Vercel AI Gateway, and Novita AI. Qwen3-Max is available on OpenRouter, Vercel AI Gateway, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-31. Data sourced from public model cards and provider documentation.