Model comparison
Gemini 3.7 Flash vs GPT-5.4 Nano
Google against OpenAI, compared on context, price, and verified benchmark results.
Catalog record checked September 5, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Gemini 3.7 Flash
Budget
OpenAI
GPT-5.4 Nano
Budget
| Specification | Gemini 3.7 Flash | GPT-5.4 Nano |
|---|---|---|
| Provider | OpenAI | |
| Tier | Budget | Budget |
| Context window | Winner: 1.05M | 400K |
| Max output | 66K | Winner: 128K |
| Input / 1M tokens | $0.75 | Winner: $0.20 |
| Output / 1M tokens | $3.75 | Winner: $1.25 |
| Weights | Closed | Closed |
| Parameters | Not disclosedUnverified | Not disclosedUnverified |
| Reasoning levels | low, medium, high | none, low, medium, high |
| Modalities | text, image, video, audio, pdf | text, image |
| API model id | gemini-3.7-flash | gpt-5.4-nano |
| Released | August 13, 2026 | March 17, 2026 |
| Artificial Analysis Intelligence Index [high] (2026-08-14) | Winner: 56 | 40 |
| Terminal-Bench 2.1 (2026-08) | 85.8 | Not verifiedUnverified |
| DeepSWE 1.1 (2026-08) | 65.3 | Not verifiedUnverified |
| Humanity's Last Exam (2026-08) | 53.6 | Not verifiedUnverified |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
- 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).
- 2026-08: Google DeepMind model evaluation report (vendor, HLE-Verified full set)Agentic terminal work: multi-step tasks executed in a sandboxed shell environment. Comparability: comparable with caveat — Scores across Terminal-Bench major versions (v1 vs v2) are NOT comparable; harness configuration (container, time limits) also shifts results.
Pricing tiers: Gemini 3.7 Flash: Intro price $0.75/$3.75 per MTok through 2026-12-31, rising to $1.50/$7.50 from 2027-01-01. Multimodal input. · GPT-5.4 Nano: Standard $0.20/$1.25 per MTok; cached input $0.02/MTok; batch $0.10/$0.625.
Gemini 3.7 Flash
Gemini 3.7 Flash is Google's efficiency-first multimodal Flash (3.8 Flash of 2026-09-02 is newer and stronger; Google keeps 3.7 for cost-focused routes).
Best for
- High-volume multimodal
- Agent loops
- Cost-sensitive work
Watch out
Intro pricing doubles on 2027-01-01; lock rates if deploying long-term.
GPT-5.4 Nano
GPT-5.4 Nano is OpenAI's cheapest small tier for classification and extraction at $0.20/$1.25.
Best for
- Classification
- Summarisation
- High-volume chat
Watch out
Smallest tier; not for hard reasoning or coding.
When the cheaper one wins
GPT-5.4 Nano is cheaper on output at $1.25 per million tokens against $3.75 for Gemini 3.7 Flash — about 3.0×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: parameter count.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 6 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Gemini 3.7 Flash: Google — Gemini 3.7 Flash (accessed 2026-08-29)
- Gemini 3.7 Flash: Google Cloud Gemini pricing (accessed 2026-08-29)
- GPT-5.4 Nano: OpenAI — GPT-5.4 Mini & Nano (accessed 2026-08-29)
- GPT-5.4 Nano: OpenAI API pricing (gpt-5.4-nano $0.20/$1.25) (accessed 2026-08-29)
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- Gemini 3.7 Flash vs Grok 4.6
- Claude Haiku 4.5 vs Gemini 3.7 Flash
Diving deeper on one model? Gemini 3.7 Flash · GPT-5.4 Nano
Common questions
Gemini 3.7 Flash vs GPT-5.4 Nano
Answered from the verified figures on this page rather than general guidance.
Is Gemini 3.7 Flash or GPT-5.4 Nano cheaper for input?
GPT-5.4 Nano is cheaper at $0.20 per million input tokens, against $0.75 for Gemini 3.7 Flash — roughly 3.8× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Gemini 3.7 Flash has tiered pricing: Intro price $0.75/$3.75 per MTok through 2026-12-31, rising to $1.50/$7.50 from 2027-01-01. Multimodal input. GPT-5.4 Nano has tiered pricing: Standard $0.20/$1.25 per MTok; cached input $0.02/MTok; batch $0.10/$0.625.
Is Gemini 3.7 Flash or GPT-5.4 Nano cheaper for output?
GPT-5.4 Nano is cheaper at $1.25 per million output tokens, against $3.75 for Gemini 3.7 Flash — roughly 3.0× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Gemini 3.7 Flash has tiered pricing: Intro price $0.75/$3.75 per MTok through 2026-12-31, rising to $1.50/$7.50 from 2027-01-01. Multimodal input. GPT-5.4 Nano has tiered pricing: Standard $0.20/$1.25 per MTok; cached input $0.02/MTok; batch $0.10/$0.625.
Which has the larger context window, Gemini 3.7 Flash or GPT-5.4 Nano?
Gemini 3.7 Flash accepts 1.05M tokens against 400K for GPT-5.4 Nano. This only matters if you routinely send very long documents or large codebases.
Do Gemini 3.7 Flash and GPT-5.4 Nano support the same reasoning levels?
Gemini 3.7 Flash exposes low, medium, high, while GPT-5.4 Nano exposes none, low, medium, high.
Should I use Gemini 3.7 Flash or GPT-5.4 Nano?
Both sit in the budget tier, so the choice usually comes down to price and context rather than capability. Gemini 3.7 Flash suits high-volume multimodal; GPT-5.4 Nano suits classification.
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: GPT-5.4 Nano costs $0.20 per 1M tokens versus $0.75 for Gemini 3.7 Flash — a 3.8x difference at the headline tier.
- Context: Gemini 3.7 Flash takes 1.05M against 400K for GPT-5.4 Nano — only decisive if your prompts approach the smaller window.
- Measured capability: Gemini 3.7 Flash leads Artificial Analysis Intelligence Index 56 to 40 (measured 2026-08-14).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.