DeepSeek V3 vs Gemini 2.5 Pro
At a Glance
| Compare |  DeepSeek V3DeepSeek |  Gemini 2.5 ProGoogle DeepMind |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.2574Openrouter ↗ · Aug 29, 2026 | $1.25Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.89Deepinfra ↗ · Sep 22, 2026 | $10.00Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 164K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | DeepSeek-V3 | Gemini 2.5 Pro |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,332.3991% of row best · rating · deepseek-v3; 95% CI [1327.66209525, 1337.12686082]; votes 21770; rank 209 | 1,457.77100% of row best · rating · gemini-2.5-pro; 95% CI [1455.30542635, 1460.23799206]; votes 122554; rank 36 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V3 | Gemini 2.5 Pro |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V3 | Gemini 2 5 |
| Model | DeepSeek-V3 | Gemini 2.5 Pro |
| Version | DeepSeek-V3 | Gemini 2.5 Pro |
| Lifecycle | active | active |
| Released | 2024-12-26 | Unknown |
| Knowledge cutoff | Unknown | 2025-01-01 |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 164K | 1,049K |
| Total parameters | 684.5B | Unknown |
| Active parameters | 37B | Unknown |
| License | Unknown | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, tools |
DeepSeek V3 Capabilities
Gemini 2.5 Pro Capabilities
Related Comparisons
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|---|---|---|---|
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DeepSeek-V3DeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V3DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V3DeepSeek | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V3DeepSeek | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V3 vs Gemini 2.5 Pro FAQs
Is DeepSeek V3 or Gemini 2.5 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3 and Gemini 2.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V3 or Gemini 2.5 Pro?+
DeepSeek V3 is $0.2574 and Gemini 2.5 Pro is $1.25 per million tokens, so DeepSeek V3 is cheaper on this metric. DeepSeek V3 is $0.89 and Gemini 2.5 Pro is $10.00 per million tokens, so DeepSeek V3 is cheaper on this metric.
Which has a larger context window, DeepSeek V3 or Gemini 2.5 Pro?+
Gemini 2.5 Pro has the larger sourced context window. DeepSeek V3 supports 164K and Gemini 2.5 Pro supports 1,049K.
Which performs better in benchmarks, DeepSeek V3 or Gemini 2.5 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V3 or Gemini 2.5 Pro be self-hosted?+
DeepSeek V3 is the only model in this pair currently marked as self-hostable. DeepSeek V3 is open weight; Gemini 2.5 Pro is not marked open weight.
Can DeepSeek V3 and Gemini 2.5 Pro understand images?+
DeepSeek V3 is not documented with image input; Gemini 2.5 Pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V3 or Gemini 2.5 Pro?+
Neither has a larger sourced maximum output. DeepSeek V3 is — and Gemini 2.5 Pro is 66K.
Do DeepSeek V3 and Gemini 2.5 Pro support reasoning and tool use?+
DeepSeek V3: none of these features are definitively sourced. Gemini 2.5 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V3 or Gemini 2.5 Pro?+
DeepSeek V3 has 3 sourced provider routes; Gemini 2.5 Pro has 2, so DeepSeek V3 has broader tracked availability.
Which offers better value, DeepSeek V3 or Gemini 2.5 Pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.