Llama 3 8B Instruct vs Qwen2.5-7B-Instruct
Llama 3 8B Instruct (2024) and Qwen2.5-7B-Instruct (2024) are compact production models from AI at Meta and Alibaba. Llama 3 8B Instruct ships a 8k-token context window, while Qwen2.5-7B-Instruct ships a 128k-token context window. On Google-Proof Q&A, Qwen2.5-7B-Instruct leads by 0.4 pts. On pricing, Llama 3 8B Instruct costs $0.02/1M input tokens versus $0.03/1M 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 8B Instruct is ~50% cheaper at $0.02/1M; pay for Qwen2.5-7B-Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 3 8B Instruct | Qwen2.5-7B-Instruct |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding, RAG, and Long context |
| Context window | 8k | 128k |
| Cheapest output | $0.05/1M tokens | $0.03/1M tokens |
| Provider routes | 17 tracked | 7 tracked |
| Shared benchmarks | 4 shared | Google-Proof Q&A leader |
Decision tradeoffs
- Llama 3 8B Instruct holds a shared-benchmark lead on HellaSwag, ahead by 1.8 points.
- Llama 3 8B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3 8B Instruct for Coding, Classification, and JSON / Tool use.
- Qwen2.5-7B-Instruct holds a shared-benchmark lead on Google-Proof Q&A, ahead by 0.4 points.
- Qwen2.5-7B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen2.5-7B-Instruct has the lower cheapest tracked output price at $0.03/1M tokens.
- Local decision data tags Qwen2.5-7B-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.
Llama 3 8B Instruct
$28.50
Cheapest tracked route/tier: DeepInfra
Qwen2.5-7B-Instruct
$31.50
Cheapest tracked route/tier: DeepInfra
Estimated monthly gap: $3.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on DeepInfra, OpenRouter, and Fireworks AI; start route-level A/B tests there.
- Qwen2.5-7B-Instruct is $0.02/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on DeepInfra, Fireworks AI, and NVIDIA NIM; start route-level A/B tests there.
- Llama 3 8B Instruct is $0.02/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-18 | 2024-06-07 |
| Context window | 8k | 128k |
| Parameters | 8B | 7.61B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2023-03 | - |
Pricing and availability
| Pricing attribute | Llama 3 8B Instruct | Qwen2.5-7B-Instruct |
|---|---|---|
| Input price | $0.02/1M tokens | $0.03/1M tokens |
| Output price | $0.05/1M tokens | $0.03/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3 8B Instruct | Qwen2.5-7B-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 3 8B Instruct | Qwen2.5-7B-Instruct |
|---|---|---|
| Google-Proof Q&A | 44.8 | 45.2 |
| HumanEval | 68.2 | 68.4 |
| Massive Multitask Language Understanding | 76.9 | 81.2 |
| HellaSwag | 91.1 | 89.3 |
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Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.