Gemini 3.8 Flash vs GPT-5.2
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemini 3.8 Flash | GPT-5.2 |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | UnrankedNot in the 22-model eligible cohort | #18 of 2249.3 score |
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #23 of 36$0.161 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.0 | UnrankedNot in the 22-model eligible cohort | #19 of 2242.6 score |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemini 3.8 Flash | GPT-5.2 |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemini 3 | Gpt 5 2 |
| Model | Gemini 3.8 Flash | GPT-5.2 |
| Version | Gemini 3.8 Flash | GPT-5.2 |
| Lifecycle | active | active |
| Released | 2026-09-02 | 2025-12-11 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image, Video, Audio, Document | 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, code_execution, computer_use, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
14 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Gemini 3.8 Flash Capabilities
GPT-5.2 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemini 3.7 FlashGoogle DeepMind | vs | Gemini 3.8 FlashGoogle DeepMind | family variantstext |
Gemini 3.8 FlashGoogle DeepMind | vs | GPT-6 AstraOpenAI | cross-developer peerstext |
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Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.8 FlashGoogle DeepMind | family variantstext |
 DeepSeek-V4-ProDeepSeek | vs | Gemini 3.8 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.8 FlashGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.8 FlashGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.8 FlashGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.8 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.8 FlashGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.8 FlashGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.8 FlashGoogle DeepMind | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.8 Flash vs GPT-5.2 FAQs
Is Gemini 3.8 Flash or GPT-5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash and GPT-5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.8 Flash or GPT-5.2?+
Gemini 3.8 Flash is $0.75 and GPT-5.2 is $1.75 per million tokens, so Gemini 3.8 Flash is cheaper on this metric. Gemini 3.8 Flash is $3.75 and GPT-5.2 is $14.00 per million tokens, so Gemini 3.8 Flash is cheaper on this metric.
Which has a larger context window, Gemini 3.8 Flash or GPT-5.2?+
Gemini 3.8 Flash has the larger sourced context window. Gemini 3.8 Flash supports 1,049K and GPT-5.2 supports 400K.
Which performs better in benchmarks, Gemini 3.8 Flash or GPT-5.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.8 Flash or GPT-5.2 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.8 Flash is not marked open weight; GPT-5.2 is not marked open weight.
Can Gemini 3.8 Flash and GPT-5.2 understand images?+
Gemini 3.8 Flash is documented with image input; GPT-5.2 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.8 Flash or GPT-5.2?+
GPT-5.2 has the larger sourced maximum output: Gemini 3.8 Flash supports 66K and GPT-5.2 supports 128K output tokens.
Do Gemini 3.8 Flash and GPT-5.2 support reasoning and tool use?+
Gemini 3.8 Flash: reasoning, tool calling, and image input. GPT-5.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.8 Flash or GPT-5.2?+
Gemini 3.8 Flash has 2 sourced provider routes; GPT-5.2 has 2, a tie.
Which offers better value, Gemini 3.8 Flash or GPT-5.2?+
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.