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 2025DeepSeek V4 Flash 0423 is DeepSeek's efficiency-optimized Mixture-of-Experts text model, designed for fast inference and workflows requiring tool use, function calling, and structured outputs. It features 284B total parameters with 13B activated parameters and supports a 1M-token context window with cost-effective pricing.
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: $0.928/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: 1452; Gemini 2.5 Flash Preview 09 2025: 1402 (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.
Gemini 2.5 Flash Preview 09 2025 at 144.3 tok/s and DeepSeek V4 Flash at 59.0 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 and structured outputs; 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.
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