gemini-3.1-flash-lite (high): benchmark scores, price and ranking

gemini-3.1-flash-lite (high) from Google ranks #413 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.7), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Google
Type: Fast / low-cost (flash) model
Open weights: No
Released: 2026-03-03 (source: epoch)
Cheapest API price: $0.250 in / $1.50 out per million tokens (via deepinfra, observed 2026-10-13T20:47Z)
Aggregate rank: #413 of 743 (score 47.7)

Across the 1 benchmark where at least ten models are scored, gemini-3.1-flash-lite (high) is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.250 per million tokens, is lower than that of 64% of the 427 models with a listed price.

gemini-3.1-flash-lite (high) benchmark results

gemini-3.1-flash-lite (high) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MCP Atlas	57.1%	#12 of 14	Scale Labs MCP Atlas leaderboard	2026-10-13

About gemini-3.1-flash-lite (high)

gemini-3.1-flash-lite (high) is a smaller, lower-cost model from Google. It was released on 2026-03-03, according to Epoch AI. The cheapest API listing we track charges $0.250 per million input tokens and $1.50 per million output tokens, through deepinfra. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where gemini-3.1-flash-lite (high) stands

On our aggregate score, gemini-3.1-flash-lite (high) is #413 of 743 ranked models, around the middle of the table. Its score is 47.7; the scale is centred on 50, so it sits 2.3 points below the typical model. That beats 44% of the ranked field. Among the 29 ranked Google models it is #22. The next one up is Gemini 2.5 Pro (Thinking 32K) at 47.7. The next one down is Gemini 2.5 Flash (Preview) (Thinking 24K) at 47.6.

gemini-3.1-flash-lite (high), benchmark by benchmark

MCP Atlas is a weak spot. gemini-3.1-flash-lite (high) scores 57.1%, #12 of 14, behind 79% of the models measured. The leader, Muse Spark, reaches 82.2%. It covers tool use across 1,000 MCP tasks. The board median is 70.4%, so gemini-3.1-flash-lite (high) is 13.3 points below it. Source: Scale Labs MCP Atlas leaderboard, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so gemini-3.1-flash-lite (high) costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on DeepSeek-V3.2 (Thinking; Fireworks) ($0.259) and DeepSeek-V3.2 ($0.259).

Release history

The Google model released before it was gemini-2.5-pro-preview-06-05 on 2025-06-05, which scores 53.5. The next one was gemini-3.5-flash-high on 2026-05-19, at 52.2.

Reading these numbers

The 1 score on this page comes from 1 source: Scale Labs MCP Atlas leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. The leaderboard also lists 1 other reasoning-effort setting of this model, which redirect here. This page shows the highest. With 1 results the aggregate rank can move a lot when one new score arrives.

gemini-3.1-flash-lite (high) is also listed at 1 other reasoning-effort setting; this page shows the highest-effort row, which is the one the leaderboard keeps by default.

Models ranked nearby

#410 GLM-4.7 (47.7)
#411 Mistral Large 4 (high) (47.7)
#412 Claude Haiku 4.5 (Thinking 32K) (47.7)
#414 ollama/codestral (47.6)
#415 Gemini 2.5 Flash (Preview) (Thinking 24K) (47.6)
#416 Qwen2-VL-72B-Instruct (47.6)