ModelRefs / DeepSeek R1 vs Gemma 3 27B — Benchmarks, Pricing & Coding C…
DeepSeek R1 vs Gemma 3 27B — Benchmarks, Pricing & Coding C…
DeepSeek R1 vs Gemma 3 27B: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
DeepSeek R1: DeepSeek R1 is DeepSeek's open-source reasoning model, trained with reinforcement learning to produce chain-of-thought reasoning before answering. Released in January 2025 under the MIT license, it matched or exceeded closed reasoning models on several math and coding benchmarks.
Context window: DeepSeek R1 accepts up to 128,000 tokens, Gemma 3 27B up to 128,000. Confirm the limit for your specific deployment channel before relying on it.
DeepSeek R1 vs Gemma 3 27B at a glance
| Attribute | DeepSeek R1 | Gemma 3 27B |
|---|---|---|
| Provider | DeepSeek | |
| Released | 2025-01-20 | 2025-02-01 |
| Context window | 128,000 tokens | 128,000 tokens |
| Input price | $0.55/M tokens | $0.1/M tokens |
| Output price | $2.19/M tokens | $0.3/M tokens |
| Licence | MIT | Gemma |
| Self-hostable | Yes, open weights | Yes, open weights |
| Modalities | text | text, vision |
Where they differ most
- Cost Efficiency: DeepSeek R1 75%, Gemma 3 27B 95%. Gemma 3 27B leads on this dimension.
- Reasoning: DeepSeek R1 76%, Gemma 3 27B 82%. Gemma 3 27B leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to DeepSeek R1 vs Gemma 3 27B — Benchmarks, Pricing & Coding C….
Frequently asked questions
Which is better, DeepSeek R1 or Gemma 3 27B?
DeepSeek R1 and Gemma 3 27B target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is DeepSeek R1 cheaper than Gemma 3 27B?
Compare $0.00055 vs $0.00010 on this page.