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ModelScale

Gemini 3.1 Flash-Lite

Google · Proprietary · rank 81 · bench-align-v5

Compare this model Model a workload
Canonical idgemini-3-1-flash-lite
Overall score56.32
Context window1M tokens
Release date2026-03-03
Access typeProprietary
Blended $/1M$0.5675% input / 25% output

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

AgenticUnavailable
Coding52.3
Knowledge72
ReasoningUnavailable
Multimodal & Grounded37.5
Instruction FollowingUnavailable
MathUnavailable

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: Observed

Runtime measurements
MeasurementValueObservedLast goodEvidence
Time to first token4.98 s2026-09-172026-09-17
Throughput284 tok/s2026-09-172026-09-17

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
ComponentUSDEvidence
Input / 1M tokens$0.25
Output / 1M tokens$1.50
Cache read / 1M tokens$0.025
Cache write / 1M tokensUnavailable
Blended / 1M (75% input / 25% output)$0.56
Self-hosted listingGoogle's Gemini Developer API pricing page lists gemini-3.1-flash-lite at $0.25 input / $0.025 cached input / $1.50 output per million tokens for text, image, and video on the standard paid tier.The rates above are a hosted price matched from another provider, not a first-party list price.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly cost$1.58
Modelled tokens2.82M
Open the simulatorChange this workload

Benchmark record

8 matched benchmark rows with their published value, unit, and provenance.

Knowledge

Knowledge benchmarks
BenchmarkValueTasksDifficultyProvenance
GPQA Diamond (Vals)
GPQA Diamond, Vals AI run
81.1Graduate-level science questionsExpert reasoningVals AI GPQA Diamond, Vals AI run leaderboard
MMLU-Pro (Vals)
MMLU-Pro, Vals AI run
86.2Academic multiple-choice questionsBroad academic knowledgeVals AI MMLU-Pro, Vals AI run leaderboard

Coding

Coding benchmarks
BenchmarkValueTasksDifficultyProvenance
Vibe Code Bench
Vibe Code Bench v1.1
0.00End-to-end web application buildsEnd-to-end software deliveryVibe Code Bench: Evaluating AI Models on End-to-End Web Application Development
LiveCodeBench (Vals)
LiveCodeBench, Vals AI run
80.1Competitive programming problems (easy, medium, hard)Frontier codingVals AI LiveCodeBench, Vals AI run leaderboard
SWE-bench (Vals)
SWE-bench, Vals AI run
62.8Real repository issues by human time bucketFrontier coding agentsVals AI SWE-bench, Vals AI run leaderboard

Agentic

Agentic benchmarks
BenchmarkValueTasksDifficultyProvenance
Gert Labs
Gert Labs Composite Game Benchmark
38.46Novel game environmentsAgentic coding and decision-makingGert Labs rankings
Terminal-Bench 2.1 (Vals)
Terminal-Bench 2.1, Vals AI run
34.1Difficult terminal tasksFrontier agenticVals AI Terminal-Bench 2.1, Vals AI run leaderboard

Multimodal & Grounded

Multimodal & Grounded benchmarks
BenchmarkValueTasksDifficultyProvenance
CharXiv
CharXiv Reasoning
73.2Scientific chart reasoningScientific visualization reasoningCharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.