DeepSeek Math 7B Instruct vs Llama 3.1 405B Instruct
DeepSeek Math 7B Instruct (2024) and Llama 3.1 405B Instruct (2024) are compact production models from DeepSeek and AI at Meta. DeepSeek Math 7B Instruct ships a not-yet-sourced context window, while Llama 3.1 405B Instruct ships a 128K-token context window. On Massive Multitask Language Understanding, Llama 3.1 405B Instruct leads by 12.7 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3.1 405B Instruct is safer overall; choose DeepSeek Math 7B Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | DeepSeek Math 7B Instruct | Llama 3.1 405B Instruct |
|---|---|---|
| Decision fit | Coding and Classification | RAG, Long context, and Classification |
| Context window | — | 128K |
| Cheapest output | - | $2.4/1M tokens |
| Provider routes | 0 tracked | 11 tracked |
| Shared benchmarks | 1 rows | Massive Multitask Language Understanding leader |
Decision tradeoffs
- Local decision data tags DeepSeek Math 7B Instruct for Coding and Classification.
- Llama 3.1 405B Instruct leads the largest shared benchmark signal on Massive Multitask Language Understanding by 12.7 points.
- Llama 3.1 405B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.1 405B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.1 405B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3.1 405B Instruct for RAG, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
DeepSeek Math 7B Instruct
Unavailable
No complete token price in local provider data
Llama 3.1 405B Instruct
$2,520
Cheapest tracked route: AWS Bedrock
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek Math 7B Instruct and Llama 3.1 405B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.1 405B Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.1 405B Instruct and DeepSeek Math 7B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-05 | 2024-07-23 |
| Context window | — | 128K |
| Parameters | 7B | 405B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek Math 7B Instruct | Llama 3.1 405B Instruct |
|---|---|---|
| Input price | - | $2.4/1M tokens |
| Output price | - | $2.4/1M tokens |
| Providers | - |
Capabilities
| Capability | DeepSeek Math 7B Instruct | Llama 3.1 405B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
| Benchmark | DeepSeek Math 7B Instruct | Llama 3.1 405B Instruct |
|---|---|---|
| Massive Multitask Language Understanding | 75.9 | 88.6 |
Deep dive
On shared benchmark coverage, Massive Multitask Language Understanding has DeepSeek Math 7B Instruct at 75.9 and Llama 3.1 405B Instruct at 88.6, with Llama 3.1 405B Instruct ahead by 12.7 points. The largest visible gap is 12.7 points on Massive Multitask Language Understanding, 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 3.1 405B 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.
Pricing coverage is uneven: DeepSeek Math 7B Instruct has no token price sourced yet and Llama 3.1 405B Instruct has $2.4/1M input tokens. Provider availability is 0 tracked routes versus 11. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek Math 7B Instruct when provider fit are central to the workload. Choose Llama 3.1 405B Instruct when provider fit 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
Is DeepSeek Math 7B Instruct or Llama 3.1 405B Instruct open source?
DeepSeek Math 7B Instruct is listed under Open Source. Llama 3.1 405B Instruct is listed under Open Source. 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, DeepSeek Math 7B Instruct or Llama 3.1 405B Instruct?
Llama 3.1 405B 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 DeepSeek Math 7B Instruct and Llama 3.1 405B Instruct?
DeepSeek Math 7B Instruct is available on the tracked providers still being sourced. Llama 3.1 405B Instruct is available on OctoAI API (Deprecated), Together AI, Fireworks AI, IBM watsonx, and Scale AI GenAI Platform. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick DeepSeek Math 7B Instruct over Llama 3.1 405B Instruct?
Llama 3.1 405B Instruct is safer overall; choose DeepSeek Math 7B Instruct when provider fit matters. If your workload also depends on provider fit, start with DeepSeek Math 7B Instruct; if it depends on provider fit, run the same evaluation with Llama 3.1 405B Instruct.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.