DeepSeek V3.2 vs Llama 3.2 1B
DeepSeek V3.2 (2025) and Llama 3.2 1B (2024) are compact production models from DeepSeek and AI at Meta. DeepSeek V3.2 ships a 160k-token context window, while Llama 3.2 1B ships a 128k-token context window. On pricing, Llama 3.2 1B costs $0.10/1M input tokens versus $0.25/1M 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 3.2 1B is ~152% cheaper at $0.10/1M; pay for DeepSeek V3.2 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.2 | Llama 3.2 1B |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Coding, Long context, and Classification |
| Context window | 160k | 128k |
| Cheapest output | $0.38/1M tokens | $0.10/1M tokens |
| Provider routes | 7 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek V3.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V3.2 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek V3.2 uniquely exposes Structured outputs and Code execution in local model data.
- Local decision data tags DeepSeek V3.2 for Coding, RAG, and Agents.
- Llama 3.2 1B has the lower cheapest tracked output price at $0.10/1M tokens.
- Local decision data tags Llama 3.2 1B for Coding, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3.2
$296
Cheapest tracked route/tier: OpenRouter
Llama 3.2 1B
$105
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $191. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama 3.2 1B is $0.28/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs and Code execution before moving production traffic.
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- DeepSeek V3.2 is $0.28/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- DeepSeek V3.2 adds Structured outputs and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2024-09-25 |
| Context window | 160k | 128k |
| Parameters | 671B | 1.23B |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | Llama 3 Community |
| Openness | Open source | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | DeepSeek V3.2 | Llama 3.2 1B |
|---|---|---|
| Input price | $0.25/1M tokens | $0.10/1M tokens |
| Output price | $0.38/1M tokens | $0.10/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.2 | Llama 3.2 1B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Continue comparing
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.