DeepSeek V4.1 Flash 1017 vs Qwen3.8-Max
DeepSeek V4.1 Flash 1017 (2026) and Qwen3.8-Max (2026) are frontier-tier reasoning models from DeepSeek and Alibaba. Both ship a 1M-token context window. On Google-Proof Q&A, DeepSeek V4.1 Flash 1017 leads by 0.6 pts. On pricing, DeepSeek V4.1 Flash 1017 ranges from $0.15 to $0.30/1M input tokens by tier; Qwen3.8-Max costs $2/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V4.1 Flash 1017 is safer overall; choose Qwen3.8-Max when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V4.1 Flash 1017 | Qwen3.8-Max |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 1M | 1M |
| Cheapest output | $0.60/1M tokens | $6/1M tokens |
| Provider routes | 6 tracked | 2 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 3 shared |
Decision tradeoffs
- DeepSeek V4.1 Flash 1017 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 0.6 points.
- DeepSeek V4.1 Flash 1017 has the lower cheapest tracked output price at $0.60/1M tokens.
- DeepSeek V4.1 Flash 1017 has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags DeepSeek V4.1 Flash 1017 for RAG, Agents, and Long context.
- Local decision data tags Qwen3.8-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 V4.1 Flash 1017
$270
Cheapest tracked route/tier: DeepSeek Platform Off-peak
Qwen3.8-Max
$3,100
Cheapest tracked route/tier: Alibaba Cloud PAI-EAS
Estimated monthly gap: $2,830. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.8-Max is $5.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- DeepSeek V4.1 Flash 1017 is $5.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-10-17 | 2026-08-03 |
| Context window | 1M | 1M |
| Parameters | 552B | 2.4T (95B active) |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | MITOSI-approved | Qwen3.8-Max License |
| Openness | Open source | Open weights |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Permitted | Restricted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V4.1 Flash 1017 | Qwen3.8-Max |
|---|---|---|
| Input price |
| $2/1M tokens |
| Output price |
| $6/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4.1 Flash 1017 | Qwen3.8-Max |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| JSON / 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 V4.1 Flash 1017 | Qwen3.8-Max |
|---|---|---|
| Google-Proof Q&A | 93.2 | 92.6 |
| AutomationBench | 60.5 | 27.3 |
| DeepSWE 1.1 | 77.0 | 56.6 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has DeepSeek V4.1 Flash 1017 at 93.2 and Qwen3.8-Max at 92.6, with DeepSeek V4.1 Flash 1017 ahead by 0.6 points; AutomationBench has DeepSeek V4.1 Flash 1017 at 60.5 and Qwen3.8-Max at 27.3, with DeepSeek V4.1 Flash 1017 ahead by 33.2 points; DeepSWE 1.1 has DeepSeek V4.1 Flash 1017 at 77 and Qwen3.8-Max at 56.6, with DeepSeek V4.1 Flash 1017 ahead by 20.4 points. The largest visible gap is 33.2 points on AutomationBench, 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 is close: both models cover vision, multimodal input, reasoning mode, JSON / Tool use, and JSON / Tool use. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, DeepSeek V4.1 Flash 1017 lists tiered pricing: Off-peak is $0.15/1M input and $0.60/1M output; Peak is $0.30/1M input and $1.20/1M output, while Qwen3.8-Max lists $2/1M input and $6/1M output tokens on the cheapest listed provider. A 70/30 input-output blend puts DeepSeek V4.1 Flash 1017 lower by about $2.91 per million blended tokens. For tiered pricing, this cheapest-route view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 6 providers versus 2, so concentration risk also matters.
Choose DeepSeek V4.1 Flash 1017 when vision-heavy evaluation, lower cheapest-tier input-token cost, and broader provider choice are central to the workload. Choose Qwen3.8-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 V4.1 Flash 1017 or Qwen3.8-Max?
DeepSeek V4.1 Flash 1017 supports 1M tokens, while Qwen3.8-Max supports 1M 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 V4.1 Flash 1017 or Qwen3.8-Max?
DeepSeek V4.1 Flash 1017 lists tiered pricing: Off-peak is $0.15/1M input and $0.60/1M output; Peak is $0.30/1M input and $1.20/1M output. Qwen3.8-Max lists $2/1M input and $6/1M output tokens on the cheapest listed provider. 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 V4.1 Flash 1017 or Qwen3.8-Max open source?
DeepSeek V4.1 Flash 1017 is listed under MIT. Qwen3.8-Max is listed under Qwen3.8-Max License. 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 V4.1 Flash 1017 or Qwen3.8-Max?
Both DeepSeek V4.1 Flash 1017 and Qwen3.8-Max expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, DeepSeek V4.1 Flash 1017 or Qwen3.8-Max?
Both DeepSeek V4.1 Flash 1017 and Qwen3.8-Max expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run DeepSeek V4.1 Flash 1017 and Qwen3.8-Max?
DeepSeek V4.1 Flash 1017 is available on DeepSeek Platform, Vercel AI Gateway, OpenRouter, DeepInfra, and Together AI. Qwen3.8-Max is available on Alibaba Cloud PAI-EAS and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.