DeepSeek V3 vs Llama 3.2 1B Instruct
DeepSeek V3 (2024) and Llama 3.2 1B Instruct (2024) are compact production models from DeepSeek and AI at Meta. DeepSeek V3 ships a 64k-token context window, while Llama 3.2 1B Instruct ships a 128k-token context window. On MMLU PRO, DeepSeek V3 leads by 55.9 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 3.2 1B Instruct is ~270% cheaper at $0.03/1M; pay for DeepSeek V3 only for provider fit.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 | Llama 3.2 1B Instruct |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | provider-routed production |
| Decision fit | Coding, Agents, and Classification | Coding, RAG, and Long context |
| Context window | 64k | 128k |
| Cheapest output | $0.30/1M tokens | $0.20/1M tokens |
| Provider routes | 13 tracked | 7 tracked |
| Shared benchmarks | MMLU PRO leader | 4 shared |
Decision tradeoffs
- DeepSeek V3 holds a shared-benchmark lead on MMLU PRO, ahead by 55.9 points.
- DeepSeek V3 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek V3 uniquely exposes JSON / Tool use in local model data.
- Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
- Llama 3.2 1B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.2 1B Instruct has the lower cheapest tracked output price at $0.20/1M tokens.
- Local decision data tags Llama 3.2 1B 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 V3
$155
Cheapest tracked route/tier: Bitdeer AI
Llama 3.2 1B Instruct
$71.85
Cheapest tracked route/tier: Cloudflare Workers AI
Estimated monthly gap: $83.15. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, Fireworks AI, and NVIDIA NIM; start route-level A/B tests there.
- Llama 3.2 1B Instruct is $0.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- Provider overlap exists on Fireworks AI, OpenRouter, and NVIDIA NIM; start route-level A/B tests there.
- DeepSeek V3 is $0.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- DeepSeek V3 adds JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2024-09-25 |
| Context window | 64k | 128k |
| Parameters | 671B | 1.23B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Llama 3 Community |
| Openness | Open source | Open weights |
| Weights | Available | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2024-04 | 2023-12 |
Pricing and availability
| Pricing attribute | DeepSeek V3 | Llama 3.2 1B Instruct |
|---|---|---|
| Input price | $0.10/1M tokens | $0.03/1M tokens |
| Output price | $0.30/1M tokens | $0.20/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 | Llama 3.2 1B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | 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 V3 | Llama 3.2 1B Instruct |
|---|---|---|
| MMLU PRO | 75.9 | 20.0 |
| HumanEval | 85.5 | 28.1 |
| Massive Multitask Language Understanding | 88.5 | 49.3 |
| HellaSwag | 95.7 | 78.9 |
Continue comparing
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.