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Google Gemini

Gemini 3.1 Flash Lite

1.048576M tokens

Tokonomix Editorial Team·Reviewed by Mes Kalkan··
Section 01

Speed analysis

Latency measured across all benchmark runs. P50 (median) and P95 (95th percentile) give a realistic picture of response speed under normal and peak load.

P50 latency (median)P95 latency13 runs
35451367283098905-2805-31ms
Section 02

Quality scores

Evaluation results from judge-model scoring across diverse task categories. Scores reflect coherence, accuracy and instruction-following.

99
Coding
98
Creative
100
Factual
100
Multilingual
Section 03

Pricing history

Direct provider rates per million tokens, plus a typical-conversation cost estimate.

💰
API rates — Gemini 3.1 Flash Lite
$0.2500 per 1M input tokens
$1.50 per 1M output tokens
≈ $0.0004 per typical conversation (800 tokens)
Input vs output price (per 1M tokens)
per 1M input tokens$0.2500
per 1M output tokens$1.50

Pricing over time

Input & output per 1M tokens · step-line = price changes

$0.2500

input / 1M

— no change

$1.50

output / 1M

— no change

2026-06-072026-06-072026-06-07
Input
Output
Price change
⟳ synced weekly
Section 04

Tokens per second

Throughput in tokens per second, derived from measured P50 latency. Higher is better; fluctuations track provider-side load.

Throughput (tokens / s)425 / avg 444
559323

Estimated from P50 latency × 200 output tokens — the absolute number depends on this assumption; the trend is what matters.

Section 05

Capabilities

toolssource: litellmvisionjson modepdf inputreasoningaudio inputjson schemaparallel toolsprompt cachingoutputTokenLimit: 65536max output tokens: 65536
Section 06

Tokonomix benchmark verdicts

⚖️
Endorsed by 1 judge
Independent LLM judges evaluated this model on our weekly intelligence tests
claude-sonnet-4-598/100 · 7 runs
7 correct0 partial0 wrong100% accuracy
2026-06-07

Gemini 3.1 Flash Lite adds capabilities but shows no performance data

Gemini 3.1 Flash Lite has undergone a significant expansion of capabilities since the previous benchmark window. The model now supports a comprehensive suite of features including tool use, vision processing, JSON mode and schema support, PDF input handling, reasoning capabilities, audio input, parallel tools execution, and prompt caching. This represents a substantial evolution from its previous baseline state, transforming it from a simple text model into a multimodal platform with advanced functionality. However, the current benchmark window contains no performance metrics across any evaluation categories, making it impossible to assess how these new capabilities translate into actual performance. Users should note that while the feature set has expanded dramatically and pricing information has been updated, there is currently no empirical data to validate the model's effectiveness at tasks involving these new modalities. The addition of prompt caching and parallel tools suggests optimization for production use cases, but without benchmark results, the practical impact remains unverified. Organizations considering this model should await performance data before making deployment decisions based solely on the expanded capability list.

Quality

Latency p50

Test runs

0

Multimodal capabilities added Tool use now supported No benchmark data available
Last automated test
Jun 7, 2026 · 05:03 UTC · Benchmark
P50 latency
1910 ms
P95 latency
Errors
0 / 6 runs
Last reviewed by Tokonomix Team·June 7, 2026