ModelRefs / Gemini 2.0 Flash vs DeepSeek V3
Gemini 2.0 Flash vs DeepSeek V3
Gemini 2.0 Flash vs DeepSeek V3: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
DeepSeek V3: DeepSeek V3 is DeepSeek's December 2024 open-weights Mixture-of-Experts model, activating 37 billion of 671 billion total parameters per token across a 128,000-token context window. It ships under the MIT licence with published weights and a technical report, and DeepSeek reports its own evaluation table for the text chat model under an 8,000-token output limit.
Gemini 2.0 Flash: Gemini 2.0 Flash is Google's multimodal workhorse, accepting text, image, audio and video input across a 1,048,576-token context window with an 8,192-token output limit and an August 2024 knowledge cutoff. Google's deprecations page gives it a shutdown date of 1 June 2026 and names gemini-3.6-flash as the replacement, and the Gemini API models page now lists it among previous models as shut down; it is retained here as a historical reference.
Context window: DeepSeek V3 accepts up to 128,000 tokens, Gemini 2.0 Flash up to 1,000,000. Confirm the limit for your specific deployment channel before relying on it.
DeepSeek V3 vs Gemini 2.0 Flash at a glance
| Attribute | DeepSeek V3 | Gemini 2.0 Flash |
|---|---|---|
| Provider | DeepSeek | |
| Released | 2024-12-26 | 2025-02-05 |
| Context window | 128,000 tokens | 1,000,000 tokens |
| Input price | $0.27/M tokens | $0.1/M tokens |
| Output price | $1.1/M tokens | $0.4/M tokens |
| Licence | MIT | Proprietary |
| Self-hostable | Yes, open weights | No, hosted only |
| Modalities | text | text, vision, audio |
Reported on different variants
Both models are measured on these benchmarks, but not on the same variant of them, so the two numbers are not a like-for-like comparison. Each side is shown with the variant it was measured on.
| Benchmark | DeepSeek V3 | Gemini 2.0 Flash | Reported |
|---|---|---|---|
| MMLU-Pro | 75.9 (exact match) | 77.6 (accuracy) | 2024-12-27 / 2025-04-15 |
A different task set or a different reported metric can move a score by more than the gap between two models. Use these as two separate findings, not as a ranking.
Where they differ most
- Cost Efficiency: DeepSeek V3 85%, Gemini 2.0 Flash 93%. Gemini 2.0 Flash leads on this dimension.
- Reasoning: DeepSeek V3 72%, Gemini 2.0 Flash 75%. Gemini 2.0 Flash 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 Gemini 2.0 Flash vs DeepSeek V3.
Frequently asked questions
Which is better, Gemini 2.0 Flash or DeepSeek V3?
Gemini 2.0 Flash and DeepSeek V3 target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Gemini 2.0 Flash cheaper than DeepSeek V3?
Compare $0.00010 vs $0.00027 on this page.