Compare DeepSeek V4 Flash from DeepSeek and Gemini 2.5 Flash Preview 09 2025 from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek V4 Flash
Gemini 2.5 Flash Preview 09 2025(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
This latest 2.5 Flash model comes with improvements in two key areas we heard consistent feedback on: Better agentic tool use: We've improved how the model uses tools, leading to better performance in more complex, agentic and multi-step applications. This model shows noticeable improvements on key agentic benchmarks, including a 5% gain on SWE-Bench Verified, compared to our last release (48.9% → 54%). More efficient: With thinking on, the model is now significantly more cost-efficient—achieving higher quality outputs while using fewer tokens, reducing latency and cost (see charts above).
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
DeepSeek V4 Flash: $0.284/M output tokens; Gemini 2.5 Flash Preview 09 2025: $2.499/M. Use the cost calculator above to estimate your own workload.
DeepSeek V4 Flash: 1483; Gemini 2.5 Flash Preview 09 2025: 1428 (LMArena coding leaderboard).
Gemini 2.5 Flash Preview 09 2025: 0.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek V4 Flash accepts 1,000,000 and Gemini 2.5 Flash Preview 09 2025 accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 65,536 tokens on Gemini 2.5 Flash Preview 09 2025.
Gemini 2.5 Flash Preview 09 2025 at 144.3 tok/s and DeepSeek V4 Flash at 66.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; Gemini 2.5 Flash Preview 09 2025 accepts text, image, video and audio input and supports tool calling, function calling and structured outputs.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Related model match-ups readers also look at.