DeepSeek V3 vs Llama 3 8B Instruct
DeepSeek V3 (2024) and Llama 3 8B Instruct (2024) are compact production models from DeepSeek and AI at Meta. DeepSeek V3 ships a 64k-token context window, while Llama 3 8B Instruct ships a 8k-token context window. On MMLU PRO, DeepSeek V3 leads by 35.4 pts. 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 ~233% cheaper at $0.03/1M; pay for DeepSeek V3 only for long-context analysis.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 | Llama 3 8B Instruct |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | provider-routed production |
| Decision fit | Coding, Agents, and Classification | Coding, Classification, and JSON / Tool use |
| Context window | 64k | 8k |
| Cheapest output | $0.30/1M tokens | $0.04/1M tokens |
| Provider routes | 13 tracked | 17 tracked |
| Shared benchmarks | MMLU PRO leader | 4 rows |
Decision tradeoffs
- DeepSeek V3 holds a shared-benchmark lead on MMLU PRO, ahead by 35.4 points.
- DeepSeek V3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V3 uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
- Llama 3 8B Instruct has the lower cheapest tracked output price at $0.04/1M tokens.
- Llama 3 8B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3 8B 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.
DeepSeek V3
$155
Cheapest tracked route/tier: Bitdeer AI
Llama 3 8B Instruct
$34.00
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $121. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock, DeepInfra, and Fireworks AI; start route-level A/B tests there.
- Llama 3 8B Instruct is $0.26/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Provider overlap exists on DeepInfra, Fireworks AI, and Microsoft Foundry; start route-level A/B tests there.
- DeepSeek V3 is $0.26/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- DeepSeek V3 adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2024-04-18 |
| Context window | 64k | 8k |
| Parameters | 671B | 8B |
| Architecture | mixture of experts | decoder only |
| License | MIT(OSI) | Llama 3 Community |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2024-04 | 2023-03 |
Pricing and availability
| Pricing attribute | DeepSeek V3 | Llama 3 8B Instruct |
|---|---|---|
| Input price | $0.10/1M tokens | $0.03/1M tokens |
| Output price | $0.30/1M tokens | $0.04/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 | Llama 3 8B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | 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
| Benchmark | DeepSeek V3 | Llama 3 8B Instruct |
|---|---|---|
| MMLU PRO | 75.9 | 40.5 |
| HumanEval | 85.5 | 68.2 |
| Massive Multitask Language Understanding | 88.5 | 76.9 |
| HellaSwag | 95.7 | 91.1 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V3 at 75.9 and Llama 3 8B Instruct at 40.5, with DeepSeek V3 ahead by 35.4 points; HumanEval has DeepSeek V3 at 85.5 and Llama 3 8B Instruct at 68.2, with DeepSeek V3 ahead by 17.3 points; Massive Multitask Language Understanding has DeepSeek V3 at 88.5 and Llama 3 8B Instruct at 76.9, with DeepSeek V3 ahead by 11.6 points. The largest visible gap is 35.4 points on MMLU PRO, 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 function calling: DeepSeek V3 and tool use: DeepSeek V3. 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, DeepSeek V3 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider, while Llama 3 8B Instruct lists $0.03/1M input and $0.04/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3 8B Instruct lower by about $0.13 per million blended tokens. Availability is 13 providers versus 17, so concentration risk also matters.
Choose DeepSeek V3 when long-context analysis and larger context windows are central to the workload. Choose Llama 3 8B 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, DeepSeek V3 or Llama 3 8B Instruct?
DeepSeek V3 supports 64k tokens, while Llama 3 8B Instruct supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek V3 or Llama 3 8B Instruct?
Llama 3 8B Instruct is cheaper on tracked token pricing. DeepSeek V3 costs $0.10/1M input and $0.30/1M output tokens. Llama 3 8B Instruct costs $0.03/1M input and $0.04/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3 or Llama 3 8B Instruct open source?
DeepSeek V3 is listed under MIT. Llama 3 8B 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 function calling, DeepSeek V3 or Llama 3 8B Instruct?
DeepSeek V3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, DeepSeek V3 or Llama 3 8B Instruct?
DeepSeek V3 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3 and Llama 3 8B Instruct?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Llama 3 8B Instruct is available on AWS Bedrock, DeepInfra, OctoAI API (Deprecated), Fireworks AI, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.