Gemini 2.5 ProvsQwen3.7-Plus
Gemini 2.5 Pro | Qwen3.7-Plus | |
|---|---|---|
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $1.25 | $0.40 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $10.00 | $1.60 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.125 | — |
| Benchmarks | ||
Arena Elo (Vision)Community preference (vision) — Real people give two anonymous AIs the same image — a photo, a screenshot, a diagram — and vote for whichever reads it better. The votes become a chess-style Elo rating on arena.ai. It measures which AI people find more useful at looking at things, not how it scores on a fixed test set. Higher is better. | 1246 | 1265 |
Arena Elo (Documents)Community preference (documents) — Real people hand two anonymous AIs the same PDF or document and vote for whichever answers better. The votes become a chess-style Elo rating on arena.ai. Unlike a fixed document benchmark, the files are whatever people actually brought along. Higher is better. | 1421 | 1440 |
| BenchmarksPublished by one model only | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 20% | — |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 59.6% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 89.6% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 86.4% | — |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 68% | — |
Arena Elo (Text)Community preference — Real people chat with two anonymous AIs side by side and vote for the answer they prefer. Votes become a chess-style Elo rating on arena.ai — it measures which AI people actually like, not test scores. Higher is better. | — | 1458 |
Arena Elo (Code)Community preference (code) — Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | 1224 | — |
| Overview | ||
| Company | Qwen | |
| Release date | Mar 25 2025 | Jun 1 2026 |
| Access | Proprietary | Proprietary |
Other comparisons
Frequently asked questions
Qwen3.7-Plus leads Gemini 2.5 Pro on 2 of the 2 benchmarks they both report (Arena Elo (Vision), Arena Elo (Documents)). Qwen3.7-Plus is cheaper on both input and output: $0.40 vs $1.25 per million input tokens, and $1.60 vs $10.00 per million output tokens. Figures are base-tier rates. Gemini 2.5 Pro shipped 433 days before Qwen3.7-Plus, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On Arena Elo (Vision), Qwen3.7-Plus leads at 1265 vs Gemini 2.5 Pro at 1246. On Arena Elo (Documents), Qwen3.7-Plus leads at 1440 vs Gemini 2.5 Pro at 1421.
Gemini 2.5 Pro was released by Google on Mar 25 2025.
Qwen3.7-Plus was released by Qwen on Jun 1 2026.
Qwen3.7-Plus is cheaper on both input and output: $0.40 vs $1.25 per million input tokens, and $1.60 vs $10.00 per million output tokens. Figures are base-tier rates. Rates are pay-as-you-go API prices verified on August 18, 2026.