Verified October 2026

Home › Compare › GPT-5.4 mini vs Gemini 2.5 Pro

GPT-5.4 mini vs Gemini 2.5 Pro

A straight cost comparison of GPT-5.4 mini (OpenAI) and Gemini 2.5 Pro (Google Gemini), per 1,000,000 tokens, verified October 2026.

$0.75GPT-5.4 mini input / 1M
$1.25Gemini 2.5 Pro input / 1M
50%Blended price gap
GPT-5.4 miniCheaper blended

Rate-by-rate comparison

USD per 1M tokens · October 2026
MetricGPT-5.4 miniGemini 2.5 ProWinner
Input / 1M$0.75$1.25GPT-5.4 mini
Cached input / 1M$0.075$0.125GPT-5.4 mini
Cache write / 1M——Tie
Output / 1M$4.50$10GPT-5.4 mini
Context window400,0001,000,000Gemini 2.5 Pro
Batch APIYesYesTie
Long-context tierNone> 200,000—

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

ModelBlended costDifference
GPT-5.4 mini$1.88Cheaper
Gemini 2.5 Pro$3.75+$1.88

Ten workloads, two bills

The same two models, priced across ten workloads that differ only in their input:output ratio. Nothing else changes — no retries, no system prompt, no middleware.

WorkloadGPT-5.4 miniGemini 2.5 ProWinner
Classification
100K reqs · 500 in / 10 out
$42$72.50GPT-5.4 mini
Data extraction
10K reqs · 2K in / 200 out
$24$45GPT-5.4 mini
Support chat
1K reqs · 4K in / 600 out
$5.70$11GPT-5.4 mini
Code review
2K reqs · 8K in / 1.5K out
$25.50$50GPT-5.4 mini
Summarisation
1K reqs · 20K in / 1K out
$19.50$35GPT-5.4 mini
Agent loop
5K reqs · 12K in / 2K out
$90$175GPT-5.4 mini
Translation
500 reqs · 15K in / 15K out
$39.38$84.38GPT-5.4 mini
Long-document QA
200 reqs · 120K in / 800 out
$18.72$31.60GPT-5.4 mini
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$11.66$21.93GPT-5.4 mini
Nightly batch
10K reqs · 10K in / 2K out
$82.50$163GPT-5.4 mini

GPT-5.4 mini wins 10 of 10, Gemini 2.5 Pro wins 0 of 10. The winner is set by the token mix, not by the headline rate.

Where the two bills cross over

GPT-5.4 mini is cheaper on both sides of the mix: $0.75 vs $1.25 per million input tokens, and $4.50 vs $10 per million output. No input:output ratio reverses that, so on price alone the other model never becomes the better choice — it has to win on context, latency or output quality.

Cost at four scales

The same support-chat workload (4K input, 600 output per request) at four monthly volumes.

Requests / monthGPT-5.4 miniGemini 2.5 ProDifference
100$0.57$1.10GPT-5.4 mini cheaper by $0.53
1,000$5.70$11GPT-5.4 mini cheaper by $5.30
10,000$57$110GPT-5.4 mini cheaper by $53
100,000$570$1,100GPT-5.4 mini cheaper by $530

What caching does to each bill

Caching only helps the part of the prompt that repeats. This is the support-chat workload (1,000 requests, 4,000 input tokens each) with an increasing share of that prompt served from a warm cache, written once on the first request.

Cached share of the promptGPT-5.4 miniGemini 2.5 ProWinner
0%$5.70$11GPT-5.4 mini
50%$4.35$8.75GPT-5.4 mini
80%$3.54$7.40GPT-5.4 mini
95%$3.14$6.73GPT-5.4 mini

Both models publish a cached-read rate, so the discount is comparable: GPT-5.4 mini reads cache at $0.075 per million, Gemini 2.5 Pro at $0.125.

Which one should you pick?

GPT-5.4 mini wins on classification, data extraction, support chat, code review, summarisation, agent loop, translation, long-document qa, cached rag, nightly batch, while Gemini 2.5 Pro wins on none of the ten workloads above.

Beyond price, the two differ on input rate ($0.75 vs $1.25); output rate ($4.50 vs $10); cached-input rate ($0.075 vs $0.125); context window (400,000 vs 1,000,000); long-context tier (none vs yes, above 200,000).

Batch mode is available on GPT-5.4 mini and Gemini 2.5 Pro, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is GPT-5.4 mini cheaper than Gemini 2.5 Pro?

On a blended 1M-input-plus-250K-output workload, GPT-5.4 mini is cheaper by 50% ($1.88 vs $3.75). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, GPT-5.4 mini or Gemini 2.5 Pro?

GPT-5.4 mini has the larger context window (1,000,000 vs 400,000 tokens). Watch the long-context threshold on Gemini 2.5 Pro: rates rise once input passes it.

Do both models support prompt caching?

GPT-5.4 mini bills cached reads at $0.075 per 1M; Gemini 2.5 Pro at $0.125.

Related comparisons

Run your own token volumes