Grok-2 vs Llama 3.3 70B Instruct
Grok-2 (2024) and Llama 3.3 70B Instruct (2024) are frontier reasoning models from xAI and AI at Meta. Both ship a 128K-token context window. On pricing, Llama 3.3 70B Instruct costs $0.14/1M 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 3.3 70B Instruct is ~270% cheaper at $0.14/1M; pay for Grok-2 only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Grok-2 | Llama 3.3 70B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps | provider-routed production |
| Decision fit | Coding, RAG, and Long context | RAG, Long context, and Classification |
| Context window | 128K | 128K |
| Cheapest output | $0.50/1M tokens | $0.40/1M tokens |
| Provider routes | 1 tracked | 13 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Grok-2 uniquely exposes Reasoning in local model data.
- Local decision data tags Grok-2 for Coding, RAG, and Long context.
- Llama 3.3 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3.3 70B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3.3 70B 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.
Grok-2
$525
Cheapest tracked route/tier: SiliconFlow
Llama 3.3 70B Instruct
$208
Cheapest tracked route/tier: Novita AI
Estimated monthly gap: $317. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Grok-2 and Llama 3.3 70B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B Instruct is $0.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Llama 3.3 70B Instruct and Grok-2; plan for SDK, billing, or endpoint changes.
- Grok-2 is $0.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Grok-2 adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-08-01 | 2024-12-06 |
| Context window | 128K | 128K |
| Parameters | — | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Grok License | Llama 3.3 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Restricted |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | Grok-2 | Llama 3.3 70B Instruct |
|---|---|---|
| Input price | $0.50/1M tokens | $0.14/1M tokens |
| Output price | $0.50/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | Grok-2 | Llama 3.3 70B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| JSON / Tool use | No | 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.
Deep dive
The capability footprint differs most on reasoning mode: Grok-2. 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-2 lists $0.50/1M input and $0.50/1M output tokens on the cheapest tracked provider, while Llama 3.3 70B Instruct lists $0.14/1M input and $0.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.3 70B Instruct lower by about $0.29 per million blended tokens. Availability is 1 providers versus 13, so concentration risk also matters.
Choose Grok-2 when reasoning depth are central to the workload. Choose Llama 3.3 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. 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, Grok-2 or Llama 3.3 70B Instruct?
Grok-2 supports 128K tokens, while Llama 3.3 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-2 or Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct is cheaper on tracked token pricing. Grok-2 costs $0.50/1M input and $0.50/1M output tokens. Llama 3.3 70B Instruct costs $0.14/1M input and $0.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Grok-2 or Llama 3.3 70B Instruct open source?
Grok-2 is listed under Grok License. Llama 3.3 70B Instruct is listed under Llama 3.3 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 reasoning mode, Grok-2 or Llama 3.3 70B Instruct?
Grok-2 has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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, Grok-2 or Llama 3.3 70B Instruct?
Both Grok-2 and Llama 3.3 70B Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Grok-2 and Llama 3.3 70B Instruct?
Grok-2 is available on SiliconFlow. Llama 3.3 70B Instruct is available on Cloudflare Workers AI, Fireworks AI, NVIDIA NIM, GroqCloud, and Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.