DeepSeek V4.1 Flash 1017 vs Kimi K3.1 Pro
DeepSeek V4.1 Flash 1017 (2026) and Kimi K3.1 Pro (2026) are frontier-tier reasoning models from DeepSeek and Moonshot AI. Both ship a 1M-token context window. On Google-Proof Q&A, Kimi K3.1 Pro leads by 1.0 pts. On pricing, DeepSeek V4.1 Flash 1017 ranges from $0.15 to $0.30/1M input tokens by tier; Kimi K3.1 Pro 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.
Kimi K3.1 Pro is safer overall; choose DeepSeek V4.1 Flash 1017 when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V4.1 Flash 1017 | Kimi K3.1 Pro |
|---|---|---|
| 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 | RAG, Agents, and Long context |
| Context window | 1M | 1M |
| Cheapest output | $0.60/1M tokens | $10/1M tokens |
| Provider routes | 6 tracked | 6 tracked |
| Shared benchmarks | 7 shared | Google-Proof Q&A leader |
Decision tradeoffs
- DeepSeek V4.1 Flash 1017 holds a shared-benchmark lead on DeepSWE 1.1, ahead by 1.5 points.
- DeepSeek V4.1 Flash 1017 has the lower cheapest tracked output price at $0.60/1M tokens.
- Local decision data tags DeepSeek V4.1 Flash 1017 for RAG, Agents, and Long context.
- Kimi K3.1 Pro holds a shared-benchmark lead on Google-Proof Q&A, ahead by 1.0 points.
- Kimi K3.1 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Kimi K3.1 Pro for RAG, Agents, and Long context.
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
Kimi K3.1 Pro
$4,100
Cheapest tracked route/tier: Moonshot AI Kimi
Estimated monthly gap: $3,830. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Vercel AI Gateway, OpenRouter, and Together AI; start route-level A/B tests there.
- Kimi K3.1 Pro is $9.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on Vercel AI Gateway, OpenRouter, and DeepInfra; start route-level A/B tests there.
- DeepSeek V4.1 Flash 1017 is $9.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-10-17 | 2026-10-23 |
| Context window | 1M | 1M |
| Parameters | 552B | 2800B total; 104B active |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | MITOSI-approved | Kimi K3.1 Pro 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 | Kimi K3.1 Pro |
|---|---|---|
| Input price |
| $2/1M tokens |
| Output price |
| $10/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4.1 Flash 1017 | Kimi K3.1 Pro |
|---|---|---|
| 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 | Kimi K3.1 Pro |
|---|---|---|
| Google-Proof Q&A | 93.2 | 94.2 |
| Humanity's Last Exam | 42.6 | 51.1 |
| Terminal-Bench 4.0 | 42.3 | 65.7 |
| Agents' Last Exam | 35.4 | 43.2 |
| Chartography w/ tools | 83.0 | 90.2 |
| BabyVision w/ tools | 92.5 | 95.4 |
| DeepSWE 1.1 | 77.0 | 75.5 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has DeepSeek V4.1 Flash 1017 at 93.2 and Kimi K3.1 Pro at 94.2, with Kimi K3.1 Pro ahead by 1.0 points; Humanity's Last Exam has DeepSeek V4.1 Flash 1017 at 42.6 and Kimi K3.1 Pro at 51.1, with Kimi K3.1 Pro ahead by 8.5 points; Terminal-Bench 4.0 has DeepSeek V4.1 Flash 1017 at 42.3 and Kimi K3.1 Pro at 65.7, with Kimi K3.1 Pro ahead by 23.4 points. The largest visible gap is 23.4 points on Terminal-Bench 4.0, 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 Kimi K3.1 Pro lists $2/1M input and $10/1M output tokens on the cheapest listed provider. A 70/30 input-output blend puts DeepSeek V4.1 Flash 1017 lower by about $4.12 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 6, so concentration risk also matters.
Choose DeepSeek V4.1 Flash 1017 when vision-heavy evaluation and lower cheapest-tier input-token cost are central to the workload. Choose Kimi K3.1 Pro when long-context analysis and larger context windows 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 Kimi K3.1 Pro?
Kimi K3.1 Pro supports 1M tokens, while DeepSeek V4.1 Flash 1017 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 Kimi K3.1 Pro?
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. Kimi K3.1 Pro lists $2/1M input and $10/1M 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 Kimi K3.1 Pro open source?
DeepSeek V4.1 Flash 1017 is listed under MIT. Kimi K3.1 Pro is listed under Kimi K3.1 Pro 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 Kimi K3.1 Pro?
Both DeepSeek V4.1 Flash 1017 and Kimi K3.1 Pro expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, DeepSeek V4.1 Flash 1017 or Kimi K3.1 Pro?
Both DeepSeek V4.1 Flash 1017 and Kimi K3.1 Pro 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 Kimi K3.1 Pro?
DeepSeek V4.1 Flash 1017 is available on DeepSeek Platform, Vercel AI Gateway, OpenRouter, DeepInfra, and Together AI. Kimi K3.1 Pro is available on Moonshot AI Kimi, Vercel AI Gateway, OpenRouter, Together AI, and Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-11-04. Data sourced from public model cards and provider documentation.