o4-mini vs Gemini 2.5 Pro
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by OpenAI
|
by Google
|
|---|---|---|
| Overview | ||
| Status | Deprecated reasoning | Deprecated mid tier |
| Released | Apr 17, 2025 | Jun 17, 2025 |
| Pricing per million tokens | ||
| Input | $1.10/Mtok | $1.25/Mtok |
| Output | $4.40/Mtok | $10.00/Mtok |
| Blended avg | $1.93/Mtok | $3.44/Mtok |
| Cached input | $0.275/Mtok | — |
| Specifications | ||
| Context window | 200K tokens | 2M tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
textimage
|
textimageaudiovideo
|
| Benchmarks source: Vellum LLM Leaderboard | ||
| Avg benchmark score | 69.2 | 61.2 |
| Perf / dollar | 35.9 | 17.8 |
| GPQA Diamond | 81.4 | 86.4 |
| SWE-Bench Verified | 68 | 50 |
| Humanity's Last Exam | 14.28 | 21.6 |
| ARC-AGI 2 | 40 | 25 |
| AIME 2025 | 92.7 | 88 |
| MMMLU | 86 | 89.2 |
| BFCL | 82 | 72 |
| HumanEval | 68.1 | 59.6 |
| MATH 500 | 90 | 80 |
| Terminal-Bench 2.1 | — | 32.6 |
| LiveCodeBench | — | 69 |
| Independent composite scores each on its own scale — not part of the average above | ||
| LMSYS Chatbot Arena | 1389.8 ELO | 1445.4 ELO |
| AA Intelligence Index | — | 25.9 |
| AA Agentic Index | — | 7.2 |
| AA-Omniscience Index (−100–100) | — | -16.4 |
| Providers | ||
| Available from |
OpenAI — $1.10/$4.40/Mtok
|
Google — $1.25/$10.00/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | o4-mini | Gemini 2.5 Pro | Savings |
|---|---|---|---|
| 1M tokens | $1.93 | $3.44 | $1.51 (43.9%) |
| 10M tokens | $19.25 | $34.38 | $15.12 (44%) |
| 100M tokens | $192.5 | $343.75 | $151.25 (44%) |
| 1000M tokens | $1925 | $3437.5 | $1512.5 (44%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $1.93/Mtok blended vs $3.44 — 44% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.275/Mtok — 75% off its list input price, a discount Gemini 2.5 Pro doesn't offer
- raw capability matters more than price: 69.2 vs 61.2 average benchmark score
- you need the longer context: 2M tokens vs 200K (10×)
The cheaper option here — o4-mini costs $1.93/Mtok blended on OpenAI.
Summary
o4-mini by OpenAI costs $1.10/Mtok input and $4.40/Mtok output, with a 200K-token context window. It supports text, image input.
Gemini 2.5 Pro by Google costs $1.25/Mtok input and $10.00/Mtok output, with a 2M-token context window. It supports text, image, audio, video input.
On a blended cost basis, o4-mini is 44% cheaper than Gemini 2.5 Pro.
On benchmarks, o4-mini scores higher (69.2 vs 61.2) on average. In terms of value, o4-mini has better performance per dollar (35.9 vs 17.8).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.