Grok Build 0.1 vs Llama 3.1 70B Instruct
Grok Build 0.1 (2026) and Llama 3.1 70B Instruct (2024) compare a coding-specialized model against a standalone API model. Grok Build 0.1 ships a 256k-token context window, while Llama 3.1 70B Instruct ships a 128k-token context window. On pricing, Grok Build 0.1 ranges from $1 to $2/1M input tokens by tier; Llama 3.1 70B Instruct costs $0.40/1M input tokens. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Grok Build 0.1 is coding-specialized model, while Llama 3.1 70B 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 | Grok Build 0.1 | Llama 3.1 70B 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 | Coding, RAG, and Long context |
| Context window | 256k | 128k |
| Cheapest output | $2/1M tokens | $0.40/1M tokens |
| Provider routes | 3 tracked | 13 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Grok Build 0.1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Grok Build 0.1 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Grok Build 0.1 for Coding, RAG, and Agents.
- Llama 3.1 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3.1 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3.1 70B Instruct for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Grok Build 0.1
$1,300
Cheapest tracked route/tier: xAI Console
Llama 3.1 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $880. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Llama 3.1 70B Instruct is $1.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Provider overlap exists on Vercel AI Gateway and OpenRouter; start route-level A/B tests there.
- Grok Build 0.1 is $1.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Grok Build 0.1 adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-05-14 | 2024-07-23 |
| Context window | 256k | 128k |
| Parameters | — | 70B |
| Architecture | - | decoder only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | Grok Build 0.1 | Llama 3.1 70B Instruct |
|---|---|---|
| Input price |
| $0.40/1M tokens |
| Output price |
| $0.40/1M tokens |
| Providers |
Capabilities
| Capability | Grok Build 0.1 | Llama 3.1 70B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Grok Build 0.1, multimodal input: Grok Build 0.1, reasoning mode: Grok Build 0.1, function calling: Grok Build 0.1, and tool use: Grok Build 0.1. Both models share 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, Grok Build 0.1 lists tiered pricing: 0-200,001t is $1/1M input and $2/1M output; 200,001t+ is $2/1M input and $4/1M output, while Llama 3.1 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.1 70B Instruct lower by about $0.90 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 3 providers versus 13, so concentration risk also matters.
Choose Grok Build 0.1 when coding workflow support and larger context windows are central to the workload. Choose Llama 3.1 70B 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.
FAQ
Which has a larger context window, Grok Build 0.1 or Llama 3.1 70B Instruct?
Grok Build 0.1 supports 256k tokens, while Llama 3.1 70B Instruct 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, Grok Build 0.1 or Llama 3.1 70B Instruct?
Grok Build 0.1 lists tiered pricing: 0-200,001t is $1/1M input and $2/1M output; 200,001t+ is $2/1M input and $4/1M output. Llama 3.1 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Grok Build 0.1 or Llama 3.1 70B Instruct open source?
Grok Build 0.1 is listed under Proprietary. 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 vision, Grok Build 0.1 or Llama 3.1 70B Instruct?
Grok Build 0.1 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Grok Build 0.1 or Llama 3.1 70B Instruct?
Grok Build 0.1 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Grok Build 0.1 and Llama 3.1 70B Instruct?
Grok Build 0.1 is available on xAI Console, Vercel AI Gateway, and OpenRouter. Llama 3.1 70B Instruct is available on Cloudflare Workers AI, OctoAI API (Deprecated), Together AI, Fireworks AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-06. Data sourced from public model cards and provider documentation.