DeepSeek V4 Pro vs Llama 3.1 70B Instruct
DeepSeek V4 Pro (2026) and Llama 3.1 70B Instruct (2024) are frontier reasoning models from DeepSeek and AI at Meta. DeepSeek V4 Pro ships a 1m-token context window, while Llama 3.1 70B Instruct ships a 128k-token context window. On HumanEval, Llama 3.1 70B Instruct leads by 7.3 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Pick Llama 3.1 70B Instruct for coding; DeepSeek V4 Pro is better when reasoning depth matters more.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Pro | Llama 3.1 70B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 1m | 128k |
| Cheapest output | $0.87/1M tokens | $0.40/1M tokens |
| Provider routes | 5 tracked | 13 tracked |
| Shared benchmarks | 2 shared | HumanEval leader |
Decision tradeoffs
- DeepSeek V4 Pro holds a shared-benchmark lead on Massive Multitask Language Understanding, ahead by 4.1 points.
- DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V4 Pro uniquely exposes Reasoning and JSON / Tool use in local model data.
- Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
- Llama 3.1 70B Instruct holds a shared-benchmark lead on HumanEval, ahead by 7.3 points.
- Llama 3.1 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3.1 70B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3.1 70B 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.
DeepSeek V4 Pro
$566
Cheapest tracked route/tier: DeepSeek Platform
Llama 3.1 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $146. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- Llama 3.1 70B Instruct is $0.47/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and JSON / Tool use before moving production traffic.
- Provider overlap exists on Fireworks AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek V4 Pro is $0.47/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- DeepSeek V4 Pro adds Reasoning and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-24 | 2024-07-23 |
| Context window | 1m | 128k |
| Parameters | 1.6T | 70B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Llama 3 Community |
| Openness | Open source | Open weights |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | DeepSeek V4 Pro | Llama 3.1 70B Instruct |
|---|---|---|
| Input price | $0.43/1M tokens | $0.40/1M tokens |
| Output price | $0.87/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | Llama 3.1 70B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| JSON / 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 V4 Pro | Llama 3.1 70B Instruct |
|---|---|---|
| HumanEval | 76.8 | 84.1 |
| Massive Multitask Language Understanding | 90.1 | 86.0 |
Continue comparing
- DeepSeek V4 Pro vs Llama 3.1 405B Instruct
- DeepSeek V4 Pro vs Qwen2-7B-Instruct
- DeepSeek V4 Pro vs GLM-5.1
- DeepSeek V4 Pro vs Kimi K2.6
- Llama 3 70B Instruct vs Llama 3.1 70B Instruct
- Claude Sonnet 4.6 vs DeepSeek V4 Pro
- DeepSeek V4 Flash vs DeepSeek V4 Pro
- DeepSeek V4 Pro vs Gemini 2.5 Flash
- Claude Sonnet 4.5 vs DeepSeek V4 Pro
Popular comparisons for DeepSeek V4 Pro
Popular comparisons for Llama 3.1 70B Instruct
Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.