Kimi K2 vs Llama Guard 3 1B
Kimi K2 (2025) and Llama Guard 3 1B (2024) are compact production models from Moonshot AI and AI at Meta. Kimi K2 ships a 262k-token context window, while Llama Guard 3 1B ships a 128k-token context window. On pricing, Llama Guard 3 1B costs $0.10/1M input tokens versus $0.50/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama Guard 3 1B is ~400% cheaper at $0.10/1M; pay for Kimi K2 only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Kimi K2 | Llama Guard 3 1B |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | general production evaluation |
| Decision fit | RAG, Agents, and Long context | Long context and Classification |
| Context window | 262k | 128k |
| Cheapest output | $2/1M tokens | $0.10/1M tokens |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Kimi K2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2 has broader tracked provider coverage for fallback and procurement flexibility.
- Kimi K2 uniquely exposes Function calling and Structured outputs in local model data.
- Local decision data tags Kimi K2 for RAG, Agents, and Long context.
- Llama Guard 3 1B has the lower cheapest tracked output price at $0.10/1M tokens.
- Local decision data tags Llama Guard 3 1B for 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
$900
Cheapest tracked route/tier: AWS Bedrock
Llama Guard 3 1B
$105
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $795. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Kimi K2 and Llama Guard 3 1B; plan for SDK, billing, or endpoint changes.
- Llama Guard 3 1B is $1.90/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Llama Guard 3 1B and Kimi K2; plan for SDK, billing, or endpoint changes.
- Kimi K2 is $1.90/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Kimi K2 adds Function calling and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-07-11 | 2024-09-25 |
| Context window | 262k | 128k |
| Parameters | 1K | 1B |
| Architecture | - | decoder only |
| License | MIT(OSI) | Llama 2 Community |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | Kimi K2 | Llama Guard 3 1B |
|---|---|---|
| Input price | $0.50/1M tokens | $0.10/1M tokens |
| Output price | $2/1M tokens | $0.10/1M tokens |
| Providers |
Capabilities
| Capability | Kimi K2 | Llama Guard 3 1B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Kimi K2 and structured outputs: Kimi K2. 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 lists $0.50/1M input and $2/1M output tokens on the cheapest tracked provider, while Llama Guard 3 1B lists $0.10/1M input and $0.10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $0.85 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Kimi K2 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Llama Guard 3 1B when provider fit and lower input-token cost 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 or Llama Guard 3 1B?
Kimi K2 supports 262k tokens, while Llama Guard 3 1B supports 128k 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 or Llama Guard 3 1B?
Llama Guard 3 1B is cheaper on tracked token pricing. Kimi K2 costs $0.50/1M input and $2/1M output tokens. Llama Guard 3 1B costs $0.10/1M input and $0.10/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Kimi K2 or Llama Guard 3 1B open source?
Kimi K2 is listed under MIT. Llama Guard 3 1B is listed under Llama 2 Community. 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 function calling, Kimi K2 or Llama Guard 3 1B?
Kimi K2 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Kimi K2 or Llama Guard 3 1B?
Kimi K2 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 and Llama Guard 3 1B?
Kimi K2 is available on OpenRouter, AWS Bedrock, and GCP Vertex AI. Llama Guard 3 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.