Llama 2 13B Chat vs Llama 3 70B Instruct
Llama 2 13B Chat (2023) and Llama 3 70B Instruct (2024) are compact production models from AI at Meta. Llama 2 13B Chat ships a 4k-token context window, while Llama 3 70B Instruct ships a 8k-token context window. On HumanEval, Llama 3 70B Instruct leads by 13.3 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 2 13B Chat is ~300% cheaper at $0.10/1M; pay for Llama 3 70B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 2 13B Chat | Llama 3 70B Instruct |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding, Classification, and JSON / Tool use |
| Context window | 4k | 8k |
| Cheapest output | $0.50/1M tokens | $0.40/1M tokens |
| Provider routes | 11 tracked | 18 tracked |
| Shared benchmarks | 2 shared | HumanEval leader |
Decision tradeoffs
- Local decision data tags Llama 2 13B Chat for Coding, Classification, and JSON / Tool use.
- Llama 3 70B Instruct holds a shared-benchmark lead on HumanEval, ahead by 13.3 points.
- Llama 3 70B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3 70B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3 70B Instruct for Coding, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 2 13B Chat
$205
Cheapest tracked route/tier: Replicate API
Llama 3 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $215. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI, AWS Bedrock, and Microsoft Foundry; start route-level A/B tests there.
- Llama 3 70B Instruct is $0.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on AWS Bedrock, Microsoft Foundry, and GCP Vertex AI; start route-level A/B tests there.
- Llama 2 13B Chat is $0.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2024-04-18 |
| Context window | 4k | 8k |
| Parameters | 13B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Llama 3 Community |
| Openness | Open weights | Open weights |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2022-09 | 2023-12 |
Pricing and availability
| Pricing attribute | Llama 2 13B Chat | Llama 3 70B Instruct |
|---|---|---|
| Input price | $0.10/1M tokens | $0.40/1M tokens |
| Output price | $0.50/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 13B Chat | Llama 3 70B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | 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
| Benchmark | Llama 2 13B Chat | Llama 3 70B Instruct |
|---|---|---|
| HumanEval | 59.3 | 72.6 |
| Massive Multitask Language Understanding | 71.2 | 82.0 |
Continue comparing
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- Together AI - Llama 3 8B Lite vs Llama 2 70B Chat
- Llama 3 70B Instruct vs Llama 3.1 70B Instruct
- Llama 3 70B Instruct vs Qwen2.5-72B-Instruct
- Llama 3 70B Instruct vs Qwen3.6-27B
- DeepSeek V4 Flash vs Llama 3 70B Instruct
- Llama 3 70B Instruct vs Qwen3.6-35B-A3B
- DeepSeek V4 Pro vs Llama 3 70B Instruct
- Grok-3 vs Llama 2 13B Chat
- Llama 3 70B Instruct vs Mixtral 8x7B
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Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.