DeepSeek V4 Flash vs Gemini 3.7 Flash
At a Glance
| Compare |  DeepSeek V4 FlashDeepSeek |  Gemini 3.7 FlashGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #4 of 4687.7 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #17 of 44$0.085 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #2 of 3869.9 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.0868Openrouter ↗ · Aug 28, 2026 | $0.75Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.1736Openrouter ↗ · Aug 28, 2026 | $3.75Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,049K | 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-V4-Flash | Gemini 3.7 Flash |
|---|---|---|
| ARC-AGI-1verified-v1-354e4ceb2669 · verified_score · leader | 89.0093% of row best · percent · DeepSeek V4 Flash 0731 (Max) | 95.50100% of row best · percent · Gemini 3.7 Flash (High) |
| ARC-AGI-2verified-v2-9d422cc0fd9e · verified_score · leader | 61.3973% of row best · percent · DeepSeek V4 Flash 0731 (Max) | 84.58100% of row best · percent · Gemini 3.7 Flash (High) |
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 1.80100% of row best · score · Deepseek V4 Flash (High) (20260731); 95% CI [1.06225523, 2.53222539]; sessions 64482; observations 6405377; rank 22 | -0.6098% of row best · score · Gemini 3.7 Flash (High); 95% CI [-1.25249139, 0.04302776]; sessions 48195; observations 3925675; rank 28 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,431.7996% of row best · rating · deepseek-v4-flash; 95% CI [1427.66110387, 1435.91557810]; votes 48887; rank 83 | 1,490.49100% of row best · rating · gemini-3.7-flash-high; 95% CI [1482.31296820, 1498.67106273]; votes 5640; rank 8 |
| LiveBench2026-06-25 · overall · leader | 69.6784% of row best · percent · deepseek-v4-flash · 34,434 output tokens / case | 83.15100% of row best · percent · gemini-3.7-flash-high · 22,610 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 78.00100% of row best · points · DeepSeek V4 Flash (xhigh) · 12,709 output tokens / case | 77.95100% of row best · points · Gemini 3.7 Flash (high thinking) · 9,139 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark win | 4 benchmark winsOverall lead |
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-V4-Flash | Gemini 3.7 Flash |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Family | Deepseek V4 Flash | Gemini 3 |
| Model | DeepSeek-V4-Flash | Gemini 3.7 Flash |
| Version | DeepSeek-V4-Flash | Gemini 3.7 Flash |
| Lifecycle | retired | active |
| Released | 2026-04-24 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | 290.9B | Unknown |
| Active parameters | 13B | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
DeepSeek V4 Flash Capabilities
Gemini 3.7 Flash Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-FlashDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-FlashDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash vs Gemini 3.7 Flash FAQs
Is DeepSeek V4 Flash or Gemini 3.7 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and Gemini 3.7 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash or Gemini 3.7 Flash?+
DeepSeek V4 Flash is $0.0868 and Gemini 3.7 Flash is $0.75 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and Gemini 3.7 Flash is $3.75 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Flash or Gemini 3.7 Flash?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash is 1,049K and Gemini 3.7 Flash is 1,049K.
Which performs better in benchmarks, DeepSeek V4 Flash or Gemini 3.7 Flash?+
Gemini 3.7 Flash leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can DeepSeek V4 Flash or Gemini 3.7 Flash be self-hosted?+
DeepSeek V4 Flash is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash is open weight; Gemini 3.7 Flash is not marked open weight.
Can DeepSeek V4 Flash and Gemini 3.7 Flash understand images?+
DeepSeek V4 Flash is not documented with image input; Gemini 3.7 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash or Gemini 3.7 Flash?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Gemini 3.7 Flash is 66K.
Do DeepSeek V4 Flash and Gemini 3.7 Flash support reasoning and tool use?+
DeepSeek V4 Flash: reasoning. Gemini 3.7 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash or Gemini 3.7 Flash?+
DeepSeek V4 Flash has 5 sourced provider routes; Gemini 3.7 Flash has 2, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Flash or Gemini 3.7 Flash?+
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.