LLM Reference

Claude Instant 1.2 vs Dracarys Llama 3.1 70B Instruct

Claude Instant 1.2 (2023) and Dracarys Llama 3.1 70B Instruct (2024) are compact production models from Anthropic and Abacus.AI. Claude Instant 1.2 ships a 100k-token context window, while Dracarys Llama 3.1 70B Instruct ships a 8k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Claude Instant 1.2 fits 13x more tokens; pick it for long-context work and Dracarys Llama 3.1 70B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalClaude Instant 1.2Dracarys Llama 3.1 70B Instruct
Best forprovider-routed productiongeneral production evaluation
Decision fitClassification and JSON / Tool useGeneral
Context window100k8k
Cheapest output$2.40/1M tokens-
Provider routes2 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Claude Instant 1.2 when...
  • Claude Instant 1.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Claude Instant 1.2 has broader tracked provider coverage for fallback and procurement flexibility.
  • Claude Instant 1.2 uniquely exposes Structured outputs in local model data.
  • Local decision data tags Claude Instant 1.2 for Classification and JSON / Tool use.
Choose Dracarys Llama 3.1 70B Instruct when...
  • Use Dracarys Llama 3.1 70B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Claude Instant 1.2

$1,240

Cheapest tracked route/tier: AWS Bedrock

Dracarys Llama 3.1 70B Instruct

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Claude Instant 1.2 -> Dracarys Llama 3.1 70B Instruct
  • No overlapping tracked provider route is sourced for Claude Instant 1.2 and Dracarys Llama 3.1 70B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
Dracarys Llama 3.1 70B Instruct -> Claude Instant 1.2
  • No overlapping tracked provider route is sourced for Dracarys Llama 3.1 70B Instruct and Claude Instant 1.2; plan for SDK, billing, or endpoint changes.
  • Claude Instant 1.2 adds Structured outputs in local capability data.

Specs

Specification
Released2023-08-092024-09-01
Context window100k8k
Parameters20B70B
Architecturedecoder onlydecoder only
LicenseProprietaryLlama 3 Community
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff2023-01-

Pricing and availability

Pricing attributeClaude Instant 1.2Dracarys Llama 3.1 70B Instruct
Input price$0.80/1M tokens-
Output price$2.40/1M tokens-
Providers

Capabilities

CapabilityClaude Instant 1.2Dracarys Llama 3.1 70B Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Claude Instant 1.2. 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.

Pricing coverage is uneven: Claude Instant 1.2 has $0.80/1M input tokens and Dracarys Llama 3.1 70B Instruct has no token price sourced yet. Provider availability is 2 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Claude Instant 1.2 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Dracarys Llama 3.1 70B Instruct when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Claude Instant 1.2 or Dracarys Llama 3.1 70B Instruct?

Claude Instant 1.2 supports 100k tokens, while Dracarys Llama 3.1 70B Instruct supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Claude Instant 1.2 or Dracarys Llama 3.1 70B Instruct open source?

Claude Instant 1.2 is listed under Proprietary. Dracarys Llama 3.1 70B Instruct is listed under Llama 3 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 structured outputs, Claude Instant 1.2 or Dracarys Llama 3.1 70B Instruct?

Claude Instant 1.2 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 Claude Instant 1.2 and Dracarys Llama 3.1 70B Instruct?

Claude Instant 1.2 is available on AWS Bedrock and Anthropic. Dracarys Llama 3.1 70B Instruct is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Claude Instant 1.2 over Dracarys Llama 3.1 70B Instruct?

Claude Instant 1.2 fits 13x more tokens; pick it for long-context work and Dracarys Llama 3.1 70B Instruct for tighter calls. If your workload also depends on long-context analysis, start with Claude Instant 1.2; if it depends on provider fit, run the same evaluation with Dracarys Llama 3.1 70B Instruct.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.