Kimi K2 Instruct 0905 vs Llama 3 8B Instruct
Kimi K2 Instruct 0905 (2025) and Llama 3 8B Instruct (2024) are compact production models from Moonshot AI and AI at Meta. Kimi K2 Instruct 0905 ships a 256K-token context window, while Llama 3 8B Instruct ships a 8K-token context window. On pricing, Llama 3 8B Instruct costs $0.03/1M input tokens versus $0.6/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3 8B Instruct is ~1900% cheaper at $0.03/1M; pay for Kimi K2 Instruct 0905 only for long-context analysis.
Specs
| Released | 2025-01-01 | 2024-04-18 |
| Context window | 256K | 8K |
| Parameters | — | 8B |
| Architecture | decoder only | decoder only |
| License | - | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Kimi K2 Instruct 0905 | Llama 3 8B Instruct | |
|---|---|---|
| Input price | $0.6/1M tokens | $0.03/1M tokens |
| Output price | $2.5/1M tokens | $0.04/1M tokens |
| Providers |
Capabilities
| Kimi K2 Instruct 0905 | Llama 3 8B Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Llama 3 8B Instruct. Both models share the core language-model surface, 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, Kimi K2 Instruct 0905 lists $0.6/1M input and $2.5/1M output tokens, while Llama 3 8B Instruct lists $0.03/1M input and $0.04/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3 8B Instruct lower by about $1.14 per million blended tokens. Availability is 2 providers versus 17, so concentration risk also matters.
Choose Kimi K2 Instruct 0905 when long-context analysis and larger context windows are central to the workload. Choose Llama 3 8B Instruct when provider fit, lower input-token cost, and broader provider choice 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Kimi K2 Instruct 0905 or Llama 3 8B Instruct?
Kimi K2 Instruct 0905 supports 256K tokens, while Llama 3 8B Instruct supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Kimi K2 Instruct 0905 or Llama 3 8B Instruct?
Llama 3 8B Instruct is cheaper on tracked token pricing. Kimi K2 Instruct 0905 costs $0.6/1M input and $2.5/1M output tokens. Llama 3 8B Instruct costs $0.03/1M input and $0.04/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Kimi K2 Instruct 0905 or Llama 3 8B Instruct open source?
Kimi K2 Instruct 0905 is listed under not clearly licensed in the seed data. Llama 3 8B Instruct is listed under Open Source. 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 structured outputs, Kimi K2 Instruct 0905 or Llama 3 8B Instruct?
Llama 3 8B Instruct has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Kimi K2 Instruct 0905 and Llama 3 8B Instruct?
Kimi K2 Instruct 0905 is available on Fireworks AI and NVIDIA NIM. Llama 3 8B Instruct is available on AWS Bedrock, DeepInfra, OctoAI API, Fireworks AI, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Kimi K2 Instruct 0905 over Llama 3 8B Instruct?
Llama 3 8B Instruct is ~1900% cheaper at $0.03/1M; pay for Kimi K2 Instruct 0905 only for long-context analysis. If your workload also depends on long-context analysis, start with Kimi K2 Instruct 0905; if it depends on provider fit, run the same evaluation with Llama 3 8B Instruct.
Continue comparing
Last reviewed: 2026-04-27. Data sourced from public model cards and provider documentation.