DeepSeek V3.1 vs Kimi K2.7-Code HighSpeed
DeepSeek V3.1 (2025) and Kimi K2.7-Code HighSpeed (2026) compare a standalone API model against a coding-specialized model. DeepSeek V3.1 ships a 64k-token context window, while Kimi K2.7-Code HighSpeed ships a 262k-token context window. On pricing, DeepSeek V3.1 costs $0.27/1M input tokens versus $1.90/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: DeepSeek V3.1 is standalone API model, while Kimi K2.7-Code HighSpeed is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.1 | Kimi K2.7-Code HighSpeed |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | multimodal apps and provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, Agents, and Vision | Coding, RAG, and Agents |
| Context window | 64k | 262k |
| Cheapest output | $1/1M tokens | $8/1M tokens |
| Provider routes | 8 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek V3.1 has the lower cheapest tracked output price at $1/1M tokens.
- DeepSeek V3.1 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek V3.1 uniquely exposes Code execution in local model data.
- Local decision data tags DeepSeek V3.1 for Coding, Agents, and Vision.
- Kimi K2.7-Code HighSpeed has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2.7-Code HighSpeed uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Kimi K2.7-Code HighSpeed 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 V3.1
$466
Cheapest tracked route/tier: Novita AI
Kimi K2.7-Code HighSpeed
$3,520
Cheapest tracked route/tier: Moonshot AI Kimi
Estimated monthly gap: $3,054. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V3.1 and Kimi K2.7-Code HighSpeed; plan for SDK, billing, or endpoint changes.
- Kimi K2.7-Code HighSpeed is $7/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Code execution before moving production traffic.
- Kimi K2.7-Code HighSpeed adds Reasoning, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Kimi K2.7-Code HighSpeed and DeepSeek V3.1; plan for SDK, billing, or endpoint changes.
- DeepSeek V3.1 is $7/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- DeepSeek V3.1 adds Code execution in local capability data.
Specs
Pricing and availability
| Pricing attribute | DeepSeek V3.1 | Kimi K2.7-Code HighSpeed |
|---|---|---|
| Input price | $0.27/1M tokens | $1.90/1M tokens |
| Output price | $1/1M tokens | $8/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.1 | Kimi K2.7-Code HighSpeed |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| 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
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Kimi K2.7-Code HighSpeed, function calling: Kimi K2.7-Code HighSpeed, tool use: Kimi K2.7-Code HighSpeed, and code execution: DeepSeek V3.1. Both models share vision, multimodal input, 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 V3.1 lists $0.27/1M input and $1/1M output tokens on the cheapest tracked provider, while Kimi K2.7-Code HighSpeed lists $1.90/1M input and $8/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3.1 lower by about $3.24 per million blended tokens. Availability is 8 providers versus 1, so concentration risk also matters.
Choose DeepSeek V3.1 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose Kimi K2.7-Code HighSpeed when coding workflow support 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, DeepSeek V3.1 or Kimi K2.7-Code HighSpeed?
Kimi K2.7-Code HighSpeed supports 262k tokens, while DeepSeek V3.1 supports 64k 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 V3.1 or Kimi K2.7-Code HighSpeed?
DeepSeek V3.1 is cheaper on tracked token pricing. DeepSeek V3.1 costs $0.27/1M input and $1/1M output tokens. Kimi K2.7-Code HighSpeed costs $1.90/1M input and $8/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.1 or Kimi K2.7-Code HighSpeed open source?
DeepSeek V3.1 is listed under MIT. Kimi K2.7-Code HighSpeed is listed under MIT. 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 V3.1 or Kimi K2.7-Code HighSpeed?
Both DeepSeek V3.1 and Kimi K2.7-Code HighSpeed 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 V3.1 or Kimi K2.7-Code HighSpeed?
Both DeepSeek V3.1 and Kimi K2.7-Code HighSpeed 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 V3.1 and Kimi K2.7-Code HighSpeed?
DeepSeek V3.1 is available on Microsoft Foundry, Fireworks AI, NVIDIA NIM, Together AI, and AWS Bedrock. Kimi K2.7-Code HighSpeed is available on Moonshot AI Kimi. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-22. Data sourced from public model cards and provider documentation.