Gemini 2.5 Flash vs GPT-5 Mini
At a Glance
| Compare |  Gemini 2.5 FlashGoogle DeepMind |  GPT-5 MiniOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #45 of 460.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 0.0–33.4 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Google AI ↗ · Aug 29, 2026 | $0.125Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $2.50Google AI ↗ · Aug 29, 2026 | $1.00Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,049K | 400K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 3, 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 | Gemini 2.5 Flash | GPT-5 Mini |
|---|---|---|
| Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader | 50.90100% of row best · percent · Gemini-2.5-Flash (Prompt) | 27.8355% of row best · percent · GPT-5-mini-2025-08-07 (Prompt) |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,417.27100% of row best · rating · gemini-2.5-flash; 95% CI [1414.83704531, 1419.70406968]; votes 122732; rank 116 | 1,372.9697% of row best · rating · gpt-5-mini-high; 95% CI [1368.38533638, 1377.53632183]; votes 26569; rank 166 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,235.98100% of row best · rating · gemini-2.5-flash; 95% CI [1231.30819372, 1240.64679816]; votes 58893; rank 64 | 1,201.9097% of row best · rating · gpt-5-mini-high; 95% CI [1194.06379328, 1209.74466964]; votes 28970; rank 78 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 72.1795% of row best · points · Gemini 2.5 Flash · 4,399 output tokens / case | 76.07100% of row best · points · GPT-5 mini · 3,925 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsOverall lead | 0 benchmark wins |
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 | Gemini 2.5 Flash | GPT-5 Mini |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemini 2 5 | Gpt 5 |
| Model | Gemini 2.5 Flash | GPT-5 Mini |
| Version | Gemini 2.5 Flash | GPT-5 Mini |
| Lifecycle | active | active |
| Released | Unknown | 2025-08-07 |
| Knowledge cutoff | 2025-01-01 | 2024-05-31 |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 400K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Gemini 2.5 Flash Capabilities
GPT-5 Mini Capabilities
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|---|---|---|---|
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Gemini 2.5 FlashGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
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 MiniMax-M3MiniMax | vs | Gemini 2.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 2.5 FlashGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 2.5 FlashGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 2.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 2.5 FlashGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 2.5 Flash vs GPT-5 Mini FAQs
Is Gemini 2.5 Flash or GPT-5 Mini better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Flash and GPT-5 Mini, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 2.5 Flash or GPT-5 Mini?+
Gemini 2.5 Flash is $0.30 and GPT-5 Mini is $0.125 per million tokens, so GPT-5 Mini is cheaper on this metric. Gemini 2.5 Flash is $2.50 and GPT-5 Mini is $1.00 per million tokens, so GPT-5 Mini is cheaper on this metric.
Which has a larger context window, Gemini 2.5 Flash or GPT-5 Mini?+
Gemini 2.5 Flash has the larger sourced context window. Gemini 2.5 Flash supports 1,049K and GPT-5 Mini supports 400K.
Which performs better in benchmarks, Gemini 2.5 Flash or GPT-5 Mini?+
Gemini 2.5 Flash leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Gemini 2.5 Flash or GPT-5 Mini be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 2.5 Flash is not marked open weight; GPT-5 Mini is not marked open weight.
Can Gemini 2.5 Flash and GPT-5 Mini understand images?+
Gemini 2.5 Flash is documented with image input; GPT-5 Mini is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 2.5 Flash or GPT-5 Mini?+
GPT-5 Mini has the larger sourced maximum output: Gemini 2.5 Flash supports 66K and GPT-5 Mini supports 128K output tokens.
Do Gemini 2.5 Flash and GPT-5 Mini support reasoning and tool use?+
Gemini 2.5 Flash: reasoning, tool calling, and image input. GPT-5 Mini: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 2.5 Flash or GPT-5 Mini?+
Gemini 2.5 Flash has 2 sourced provider routes; GPT-5 Mini has 2, a tie.
Which offers better value, Gemini 2.5 Flash or GPT-5 Mini?+
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.