DeepSeek R1 0528 vs Llama 3.2 1B Instruct
DeepSeek R1 0528 (2025) and Llama 3.2 1B Instruct (2024) are frontier reasoning models from DeepSeek and AI at Meta. DeepSeek R1 0528 ships a 130k-token context window, while Llama 3.2 1B Instruct ships a 128k-token context window. On MMLU PRO, DeepSeek R1 0528 leads by 65 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 ~1752% cheaper at $0.03/1M; pay for DeepSeek R1 0528 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 0528 | Llama 3.2 1B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps and provider-routed production | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 130k | 128k |
| Cheapest output | $2.15/1M tokens | $0.20/1M tokens |
| Provider routes | 7 tracked | 7 tracked |
| Shared benchmarks | MMLU PRO leader | 2 shared |
Decision tradeoffs
- DeepSeek R1 0528 holds a shared-benchmark lead on MMLU PRO, ahead by 65 points.
- DeepSeek R1 0528 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek R1 0528 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags DeepSeek R1 0528 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 R1 0528
$938
Cheapest tracked route/tier: OpenRouter
Llama 3.2 1B Instruct
$71.85
Cheapest tracked route/tier: Cloudflare Workers AI
Estimated monthly gap: $866. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Fireworks AI; start route-level A/B tests there.
- Llama 3.2 1B Instruct is $1.95/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Provider overlap exists on Fireworks AI and OpenRouter; start route-level A/B tests there.
- DeepSeek R1 0528 is $1.95/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- DeepSeek R1 0528 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-28 | 2024-09-25 |
| Context window | 130k | 128k |
| Parameters | 685B total, 37B active (MoE) | 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 R1 0528 | Llama 3.2 1B Instruct |
|---|---|---|
| Input price | $0.50/1M tokens | $0.03/1M tokens |
| Output price | $2.15/1M tokens | $0.20/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 0528 | Llama 3.2 1B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | 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 R1 0528 | Llama 3.2 1B Instruct |
|---|---|---|
| MMLU PRO | 85.0 | 20.0 |
| Google-Proof Q&A | 81.0 | 25.6 |
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.