Gemini 3.0 ProvsKimi K2 Thinking
Gemini 3.0 Pro | Kimi K2 Thinking | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | — | 1T |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.60Google |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $2.50Google |
| Benchmarks | ||
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. | 76.2% | 71.3% |
| BenchmarksPublished by one model only | ||
Next.js EvalsNext.js coding — Vercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | 62% | — |
ARC-AGI-2Abstract reasoning — Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better. | 31.1% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 91.9% | — |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 81% | — |
| Overview | ||
| Company | Moonshot AI | |
| Release date | Nov 18 2025 | Nov 6 2025 |
| Access | Proprietary | Open Weight |
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Frequently asked questions
Gemini 3.0 Pro leads Kimi K2 Thinking on 1 of the 1 benchmark they both report (SWE-Bench Verified). Kimi K2 Thinking shipped 12 days before Gemini 3.0 Pro, so benchmark comparisons should account for the intervening progress.
Gemini 3.0 Pro is proprietary, while Kimi K2 Thinking is open weight.
On SWE-Bench Verified, Gemini 3.0 Pro leads at 76.2% vs Kimi K2 Thinking at 71.3%.
Gemini 3.0 Pro was released by Google on Nov 18 2025.
Kimi K2 Thinking was released by Moonshot AI on Nov 6 2025.
Gemini 3.0 Pro leads on SWE-Bench Verified — Gemini 3.0 Pro 76.2% vs Kimi K2 Thinking 71.3%.
Gemini 3.0 Pro is a proprietary model released by Google. Kimi K2 Thinking is an open weight model released by Moonshot AI.