Kimi K2.5 vs Llama 3.1 405B Instruct
Kimi K2.5 (2026) and Llama 3.1 405B Instruct (2024) compare a coding-specialized model against a standalone API model. Kimi K2.5 ships a 256k-token context window, while Llama 3.1 405B Instruct ships a 128k-token context window. On pricing, Kimi K2.5 costs $0.44/1M input tokens versus $2.40/1M 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: Kimi K2.5 is coding-specialized model, while Llama 3.1 405B Instruct is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Kimi K2.5 | Llama 3.1 405B Instruct |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and tool loops | provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Long context, and Classification |
| Context window | 256k | 128k |
| Cheapest output | $2/1M tokens | $2.40/1M tokens |
| Provider routes | 10 tracked | 11 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Kimi K2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2.5 has the lower cheapest tracked output price at $2/1M tokens.
- Kimi K2.5 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Kimi K2.5 for Coding, RAG, and Agents.
- Llama 3.1 405B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3.1 405B Instruct for RAG, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Kimi K2.5
$852
Cheapest tracked route/tier: OpenRouter
Llama 3.1 405B Instruct
$2,520
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $1,668. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Together AI, Fireworks AI, and NVIDIA NIM; start route-level A/B tests there.
- Llama 3.1 405B Instruct is $0.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- Provider overlap exists on Fireworks AI, Together AI, and NVIDIA NIM; start route-level A/B tests there.
- Kimi K2.5 is $0.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Kimi K2.5 adds Vision, Multimodal, and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2024-07-23 |
| Context window | 256k | 128k |
| Parameters | 1T (MoE, 384 experts) | 405B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | Kimi K2.5 | Llama 3.1 405B Instruct |
|---|---|---|
| Input price | $0.44/1M tokens | $2.40/1M tokens |
| Output price | $2/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | Kimi K2.5 | Llama 3.1 405B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.