Llama 3 70B Instruct vs Phi-3 Mini 4k
Llama 3 70B Instruct (2024) and Phi-3 Mini 4k (2024) are compact production models from AI at Meta and Microsoft Research. Llama 3 70B Instruct ships a 8k-token context window, while Phi-3 Mini 4k ships a 4k-token context window. On MMLU PRO, Llama 3 70B Instruct leads by 11.7 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Phi-3 Mini 4k is ~700% cheaper at $0.05/1M; pay for Llama 3 70B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 3 70B Instruct | Phi-3 Mini 4k |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding and Classification |
| Context window | 8k | 4k |
| Cheapest output | $0.40/1M tokens | $0.25/1M tokens |
| Provider routes | 18 tracked | 4 tracked |
| Shared benchmarks | MMLU PRO leader | 4 rows |
Decision tradeoffs
- Llama 3 70B Instruct holds a shared-benchmark lead on MMLU PRO, ahead by 11.7 points.
- Llama 3 70B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3 70B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3 70B Instruct for Coding, Classification, and JSON / Tool use.
- Phi-3 Mini 4k has the lower cheapest tracked output price at $0.25/1M tokens.
- Local decision data tags Phi-3 Mini 4k for Coding and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Phi-3 Mini 4k
$103
Cheapest tracked route/tier: Replicate API
Estimated monthly gap: $318. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Microsoft Foundry, NVIDIA NIM, and Baseten API; start route-level A/B tests there.
- Phi-3 Mini 4k is $0.15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Provider overlap exists on Microsoft Foundry, NVIDIA NIM, and Baseten API; start route-level A/B tests there.
- Llama 3 70B Instruct is $0.15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Llama 3 70B Instruct adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-18 | 2024-04-23 |
| Context window | 8k | 4k |
| Parameters | 70B | 3.8B |
| Architecture | decoder only | decoder only |
| License | Llama 3 Community | MIT(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2023-12 | 2023-10 |
Pricing and availability
| Pricing attribute | Llama 3 70B Instruct | Phi-3 Mini 4k |
|---|---|---|
| Input price | $0.40/1M tokens | $0.05/1M tokens |
| Output price | $0.40/1M tokens | $0.25/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3 70B Instruct | Phi-3 Mini 4k |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | 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
| Benchmark | Llama 3 70B Instruct | Phi-3 Mini 4k |
|---|---|---|
| MMLU PRO | 57.4 | 45.7 |
| HumanEval | 72.6 | 59.8 |
| Instruction-Following Evaluation | 77.8 | 45.0 |
| Massive Multitask Language Understanding | 82.0 | 68.2 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3 70B Instruct at 57.4 and Phi-3 Mini 4k at 45.7, with Llama 3 70B Instruct ahead by 11.7 points; HumanEval has Llama 3 70B Instruct at 72.6 and Phi-3 Mini 4k at 59.8, with Llama 3 70B Instruct ahead by 12.8 points; Instruction-Following Evaluation has Llama 3 70B Instruct at 77.8 and Phi-3 Mini 4k at 45.0, with Llama 3 70B Instruct ahead by 32.8 points. The largest visible gap is 32.8 points on Instruction-Following Evaluation, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on structured outputs: Llama 3 70B 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, Llama 3 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider, while Phi-3 Mini 4k lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi-3 Mini 4k lower by about $0.29 per million blended tokens. Availability is 18 providers versus 4, so concentration risk also matters.
Choose Llama 3 70B Instruct when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Phi-3 Mini 4k 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.
FAQ
Which has a larger context window, Llama 3 70B Instruct or Phi-3 Mini 4k?
Llama 3 70B Instruct supports 8k tokens, while Phi-3 Mini 4k supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 3 70B Instruct or Phi-3 Mini 4k?
Phi-3 Mini 4k is cheaper on tracked token pricing. Llama 3 70B Instruct costs $0.40/1M input and $0.40/1M output tokens. Phi-3 Mini 4k costs $0.05/1M input and $0.25/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3 70B Instruct or Phi-3 Mini 4k open source?
Llama 3 70B Instruct is listed under Llama 3 Community. Phi-3 Mini 4k is listed under MIT. 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, Llama 3 70B Instruct or Phi-3 Mini 4k?
Llama 3 70B 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 Llama 3 70B Instruct and Phi-3 Mini 4k?
Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. Phi-3 Mini 4k is available on Microsoft Foundry, NVIDIA NIM, Baseten API, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3 70B Instruct over Phi-3 Mini 4k?
Phi-3 Mini 4k is ~700% cheaper at $0.05/1M; pay for Llama 3 70B Instruct only for long-context analysis. If your workload also depends on long-context analysis, start with Llama 3 70B Instruct; if it depends on provider fit, run the same evaluation with Phi-3 Mini 4k.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.