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Model comparison

Gemini 2.5 Pro vs Kimi 3

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use BenchLM's provisional ranking lane.

Benchmark data for one or both models is coming soon. This page currently shows metadata and pricing where BenchLM has it, and score-level comparisons will populate as public benchmark results land.
60/100
No comparison
Moonshot AI
N/A
0 category wins0 category wins

Evidence parity. Gemini 2.5 Pro and Kimi 3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 25 results are unique to Gemini 2.5 Pro; 0 to Kimi 3.

Updated July 14, 2026
Shared results
0
Gemini 2.5 Pro only
25
Kimi 3 only
0
Comparable categories
0 / 8

Benchmark data for Gemini 2.5 Pro and Kimi 3 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for Kimi 3 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Gemini 2.5 Pro has the larger context window at 1M, compared with null for Kimi 3.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGemini 2.5 ProKimi 3Comparison
Input / output priceUSD per 1M tokensGemini 2.5 Pro$1.25 input / $10 outputKimi 3Not availableA complete price comparison is not available.
Generation speedtokens per secondGemini 2.5 Pro117 tok/sKimi 3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 2.5 Pro21.19 sKimi 3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 2.5 Pro1MKimi 3Not availableA complete context comparison is not available.

Benchmark Deep Dive

Agentic
BenchmarkGemini 2.5 ProKimi 3Result
AA Agentic IndexSource 7.1%Not comparable
Tau2-TelecomSource 54.1%Not comparable
Gert LabsSource 42.01%Not comparable
GDPval-AASource 8.3%Not comparable
GDPval-AASource 665Not comparable
Coding
BenchmarkGemini 2.5 ProKimi 3Result
SWE-bench VerifiedSource 63.8%Not comparable
Vibe Code BenchSource 0.40%Not comparable
AA Coding IndexSource 33.3%Not comparable
Terminal-Bench HardSource 26.5%Not comparable
AA-SciCodeSource 42.8%Not comparable
Reasoning
BenchmarkGemini 2.5 ProKimi 3Result
AA-LCRSource 66.0%Not comparable
CritPtSource 2.6%Not comparable
Knowledge
BenchmarkGemini 2.5 ProKimi 3Result
GPQASource 83%Not comparable
HLESource 18.8%Not comparable
Artificial Analysis Intelligence IndexSource 25.8%Not comparable
AA-GPQA DiamondSource 84.4%Not comparable
AA-HLESource 21.1%Not comparable
AA-Omniscience IndexSource -14.3%Not comparable
AA-Omniscience AccuracySource 39.0%Not comparable
AA-Omniscience Hallucination RateSource 87.4%Not comparable
Math
BenchmarkGemini 2.5 ProKimi 3Result
FrontierMath v2 (Tiers 1-3)Source 14.138%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multimodal
BenchmarkGemini 2.5 ProKimi 3Result
AA-MMMU-ProSource 74.9%Not comparable
Design Arena WebsiteSource 1201Not comparable
Inst. Following
BenchmarkGemini 2.5 ProKimi 3Result
AA-IFBenchSource 48.7%Not comparable
Frequently Asked Questions (3)

Can I compare Gemini 2.5 Pro and Kimi 3 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Gemini 2.5 Pro and Kimi 3 today?

Gemini 2.5 Pro: $1.25 input / $10.00 output per 1M tokens Kimi 3: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 14, 2026

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