DeepSeek V3.2 vs Llama 3.2 1B Instruct
DeepSeek V3.2 (2025) and Llama 3.2 1B Instruct (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 Instruct ships a 128k-token context window. On Google-Proof Q&A, DeepSeek V3.2 leads by 58.4 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 3.2 1B Instruct is ~833% cheaper at $0.03/1M; pay for DeepSeek V3.2 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.2 | Llama 3.2 1B Instruct |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 160k | 128k |
| Cheapest output | $0.38/1M tokens | $0.20/1M tokens |
| Provider routes | 7 tracked | 7 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 1 shared |
Decision tradeoffs
- DeepSeek V3.2 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 58.4 points.
- DeepSeek V3.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V3.2 uniquely exposes Code execution in local model data.
- Local decision data tags DeepSeek V3.2 for Coding, RAG, and Agents.
- 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 V3.2
$296
Cheapest tracked route/tier: OpenRouter
Llama 3.2 1B Instruct
$71.85
Cheapest tracked route/tier: Cloudflare Workers AI
Estimated monthly gap: $224. 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 $0.18/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on Fireworks AI, NVIDIA NIM, and AWS Bedrock; start route-level A/B tests there.
- DeepSeek V3.2 is $0.18/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- DeepSeek V3.2 adds 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 Instruct |
|---|---|---|
| Input price | $0.25/1M tokens | $0.03/1M tokens |
| Output price | $0.38/1M tokens | $0.20/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.2 | Llama 3.2 1B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V3.2 | Llama 3.2 1B Instruct |
|---|---|---|
| Google-Proof Q&A | 84.0 | 25.6 |
Continue comparing
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- DeepSeek V4 Flash vs Llama 3.2 1B Instruct
- DeepSeek V3.2 vs Qwen3.6-35B-A3B
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- DeepSeek V4 Pro vs Llama 3.2 1B Instruct
Popular comparisons for DeepSeek V3.2
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.