// head_to_head
Gemini 3.7 Flash vs Gemini 4 Argon
Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.
Gemini 4 Argon scores higher, Gemini 3.7 Flash costs less — it depends on your workload.
Gemini 4 Argon is ahead by 16.9 points overall, and Gemini 3.7 Flash lists 2.7× cheaper per blended million tokens. Whether 16.9 points is worth that depends on how much a wrong answer costs you. Gemini 3.7 Flash also leads on measured cost per point of capability, at $0.5935 per point.
Gemini 3.7 Flash
- Blended / 1M
- $1.50
- Context
- 1.0M
- Released
- Aug 13, 2026
- Overall score
- 67.2
Gemini 4 Argon
- Blended / 1M
- $4.00
- Context
- 1.0M
- Released
- Oct 13, 2026
- Overall score
- 84.1
Specs and pricing
| Metric | Gemini 3.7 Flash | Gemini 4 Argon |
|---|---|---|
| LiveBench overall Mean of the seven LiveBench category scores, 0–100. Higher is better. | 67.2 | 84.1win |
| Cost per point Measured benchmark spend divided by overall score — dollars per point of capability. | $0.5935win | $1.24 |
| Blended price / 1M 3:1 input:output mix, the usual shape of production traffic. | $1.50win | $4.00 |
| Input price / 1M | $0.750win | $2.00 |
| Output price / 1M | $3.75win | $10.00 |
| Cached input / 1M Price of an input token served from the prompt cache, where the provider publishes one. | $0.075win | $0.100 |
| Context window | 1.0M | 1.0M |
| Max output tokens | 66K | 66K |
Benchmarks by category
An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Gemini 3.7 Flash on top, Gemini 4 Argon below, both out of 100.
What each one costs to run
Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.
| Workload | Gemini 3.7 Flash | Gemini 4 Argon |
|---|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $431.40/mo | $1,143/mo |
| RAG assistant 8K in / 600 out × 100K requests | $555.00/mo | $1,440/mo |
| Coding agent 40K in / 4K out × 20K requests | $522.00/mo | $1,336/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $997.50/mo | $2,655/mo |
| Bulk classification 500 in / 20 out × 5M requests | $1,912/mo | $5,050/mo |
Which should you pick?
You are running this at volume
Gemini 3.7 Flash
Lowest measured cost per point of capability at $0.5935 per point — the gap compounds with every request.
Quality matters more than the bill
Gemini 4 Argon
Highest overall LiveBench score of the two at 84.1.
The workload is coding or agentic work
Gemini 4 Argon
Leads on coding — 89.7 against 80.5.
Gemini 3.7 Flash vs Gemini 4 Argon FAQ
Which is better, Gemini 3.7 Flash or Gemini 4 Argon?
Gemini 4 Argon scores higher, Gemini 3.7 Flash costs less — it depends on your workload. Gemini 4 Argon is ahead by 16.9 points overall, and Gemini 3.7 Flash lists 2.7× cheaper per blended million tokens. Whether 16.9 points is worth that depends on how much a wrong answer costs you. Gemini 3.7 Flash also leads on measured cost per point of capability, at $0.5935 per point.
Is Gemini 3.7 Flash cheaper than Gemini 4 Argon?
Gemini 3.7 Flash is cheaper. On a 3:1 input:output blend, Gemini 3.7 Flash lists at $1.50 per million tokens and Gemini 4 Argon at $4.00 — Gemini 3.7 Flash is 2.7× cheaper. Input and output are priced separately — Gemini 3.7 Flash charges $0.750 in and $3.75 out, Gemini 4 Argon charges $2.00 and $10.00 — so the model that looks cheaper flips depending on how output-heavy your workload is.
Gemini 3.7 Flash vs Gemini 4 Argon: which scores higher on benchmarks?
Gemini 3.7 Flash scores 67.2 and Gemini 4 Argon scores 84.1 overall on LiveBench, the mean of its seven categories. That is a 16.9-point lead for Gemini 4 Argon. Category scores differ from the overall figure — a model can lead on reasoning and trail on coding, which the per-category table above breaks out.
Which gives better value for money, Gemini 3.7 Flash or Gemini 4 Argon?
Gemini 3.7 Flash. Cost per point divides the measured dollars LiveBench spent running the benchmark by the score it earned, so it captures something token pricing misses: a reasoning model can emit many times more tokens than its per-token rate suggests. Gemini 3.7 Flash works out at $0.5935 per point and Gemini 4 Argon at $1.24.
Does Gemini 3.7 Flash or Gemini 4 Argon have a bigger context window?
They are effectively the same — 1.0M for Gemini 3.7 Flash and 1.0M for Gemini 4 Argon.
Do Gemini 3.7 Flash and Gemini 4 Argon support prompt caching?
Both publish a cached-input rate: $0.075 per million for Gemini 3.7 Flash and $0.100 for Gemini 4 Argon, against full input rates of $0.750 and $2.00. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.
Related comparisons
How these numbers are produced
- Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores — LiveBench release 2026-09-02, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
- “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.