Coding · Google DeepMind

Gemini 3 Flash Mini on LiveCodeBench: score, rank and what it means

Gemini 3 Flash Mini scores 69.1 on LiveCodeBench, placing it #206 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
69.1
0–100 scale
Rank
#206
of 600
Percentile
66th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
16.0
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Gemini 3 Flash Mini highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Gemini 3 Flash Mini sits at #206 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 16.0 points. The median model in this index scores 64.7, which puts Gemini 3 Flash Mini above the midpoint.

Google DeepMind models average 70.8 on this benchmark. Gemini 3 Flash Mini is 1.7 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among multimodal models, the average is 70.3. Gemini 3 Flash Mini is 1.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 69.1 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $10.71 per million input tokens, Gemini 3 Flash Mini is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Core Reka AI 32768 $12.17 77.4
Llama 4 Maverick Base Meta AI 128000 $4.68 79.1
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
Llama 3 Replicate Replicate 200000 $3.75 75.7
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Llama 3 Hyperbolic Instruct Hyperbolic 200000 $3.79 76.2

Other benchmarks for Gemini 3 Flash Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 216 64th
GPQA Diamond 73.8 174 71th
SWE-bench Verified 61.4 292 51th
HumanEval 80.1 229 62th
MATH-500 78.9 237 61th
AIME 2025 74.3 169 72th
IFEval 83.6 222 63th
TruthfulQA 79.8 186 69th
HellaSwag 84.1 275 54th
MMMU 72.6 229 62th
Arena Elo 1406.3 191 68th

FAQ

What score does Gemini 3 Flash Mini get on LiveCodeBench?

Gemini 3 Flash Mini scores 69.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Gemini 3 Flash Mini rank on LiveCodeBench?

It ranks #206 of 600 models, in the 66th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Gemini 3 Flash Mini good at LiveCodeBench?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the LiveCodeBench score calculated?

LiveCodeBench is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Gemini 3 Flash Mini cost?

Gemini 3 Flash Mini costs $10.71 per million input tokens and $48.11 per million output tokens.

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