Gemini 2.5 Flash Lite vs GPT-5.1

GPT-5.1 outscores Gemini 2.5 Flash Lite on strategic analysis (5 vs 3), creative problem solving (4 vs 3), and classification (4 vs 3) in our testing, making it the stronger choice for high-stakes reasoning tasks. However, Gemini 2.5 Flash Lite wins on tool calling (5 vs 4) and matches GPT-5.1 on seven other benchmarks — including long context, faithfulness, and agentic planning — at a fraction of the price. At $0.40/MTok output vs $10.00/MTok, the cost gap is so large that for most production workloads, Gemini 2.5 Flash Lite delivers better value unless strategic analysis or classification accuracy is the primary bottleneck.

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Gemini 2.5 Flash Lite

Overall
3.92/5Strong

Benchmark Scores

Faithfulness
5/5
Long Context
5/5
Multilingual
5/5
Tool Calling
5/5
Classification
3/5
Agentic Planning
4/5
Structured Output
4/5
Safety Calibration
1/5
Strategic Analysis
3/5
Persona Consistency
5/5
Constrained Rewriting
4/5
Creative Problem Solving
3/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$0.100/MTok

Output

$0.400/MTok

Context Window1049K

modelpicker.net

openai

GPT-5.1

Overall
4.25/5Strong

Benchmark Scores

Faithfulness
5/5
Long Context
5/5
Multilingual
5/5
Tool Calling
4/5
Classification
4/5
Agentic Planning
4/5
Structured Output
4/5
Safety Calibration
2/5
Strategic Analysis
5/5
Persona Consistency
5/5
Constrained Rewriting
4/5
Creative Problem Solving
4/5

External Benchmarks

SWE-bench Verified
68.0%
MATH Level 5
N/A
AIME 2025
88.6%

Pricing

Input

$1.25/MTok

Output

$10.00/MTok

Context Window400K

modelpicker.net

Benchmark Analysis

Across our 12-test suite, GPT-5.1 wins 4 benchmarks, Gemini 2.5 Flash Lite wins 1, and the two models tie on 7.

Where GPT-5.1 leads:

  • Strategic analysis: 5 vs 3. GPT-5.1 ties for 1st among 54 models (with 25 others); Flash Lite ranks 36th of 54. This is the clearest performance gap — nuanced tradeoff reasoning with real numbers is materially better on GPT-5.1 in our testing.
  • Creative problem solving: 4 vs 3. GPT-5.1 ranks 9th of 54; Flash Lite ranks 30th of 54. Generating non-obvious, feasible ideas is a meaningful advantage for GPT-5.1.
  • Classification: 4 vs 3. GPT-5.1 ties for 1st among 53 models; Flash Lite ranks 31st. Accurate routing and categorization favors GPT-5.1.
  • Safety calibration: 2 vs 1. Both scores are low relative to the field (p50 is 2), but GPT-5.1 ranks 12th of 55 while Flash Lite ranks 32nd. Neither model excels here; GPT-5.1 is merely less weak.

Where Gemini 2.5 Flash Lite leads:

  • Tool calling: 5 vs 4. Flash Lite ties for 1st among 54 models (with 16 others); GPT-5.1 ranks 18th. Function selection, argument accuracy, and sequencing are stronger on Flash Lite — directly relevant for agentic and API-orchestration workloads.

Where they tie (7 benchmarks):

  • Faithfulness (5/5): Both tied for 1st among 55 models. Neither hallucinates from source material.
  • Long context (5/5): Both tied for 1st among 55 models. Retrieval accuracy at 30K+ tokens is equivalent — notable given Flash Lite's 1,048,576-token context window vs GPT-5.1's 400,000.
  • Persona consistency (5/5): Both tied for 1st among 53 models.
  • Multilingual (5/5): Both tied for 1st among 55 models.
  • Agentic planning (4/4): Both rank 16th of 54.
  • Structured output (4/4): Both rank 26th of 54.
  • Constrained rewriting (4/4): Both rank 6th of 53.

External benchmarks (Epoch AI): GPT-5.1 scores 68% on SWE-bench Verified (rank 7 of 12 models with this score) and 88.6% on AIME 2025 (rank 7 of 23). No external benchmark scores are available for Gemini 2.5 Flash Lite in our data. GPT-5.1's AIME 2025 score of 88.6% sits above the p50 of 83.9% across models with this benchmark recorded, indicating strong math reasoning performance by that external measure.

BenchmarkGemini 2.5 Flash LiteGPT-5.1
Faithfulness5/55/5
Long Context5/55/5
Multilingual5/55/5
Tool Calling5/54/5
Classification3/54/5
Agentic Planning4/54/5
Structured Output4/54/5
Safety Calibration1/52/5
Strategic Analysis3/55/5
Persona Consistency5/55/5
Constrained Rewriting4/54/5
Creative Problem Solving3/54/5
Summary1 wins4 wins

Pricing Analysis

Gemini 2.5 Flash Lite costs $0.10/MTok input and $0.40/MTok output. GPT-5.1 costs $1.25/MTok input and $10.00/MTok output — 12.5x more on input and 25x more on output. At real-world volumes, that gap compounds fast. At 1M output tokens/month, Flash Lite costs $0.40 versus GPT-5.1's $10.00 — a $9.60 difference. At 10M output tokens, you're paying $4 vs $100. At 100M output tokens — realistic for a production chatbot or document pipeline — Flash Lite runs $400 vs GPT-5.1's $10,000. That's a $9,600/month difference for workloads where the two models tie on 7 of 12 benchmarks. Developers building high-volume pipelines, batch classifiers, or any system where output tokens accumulate rapidly should weight this heavily. GPT-5.1's premium is only justifiable when its wins on strategic analysis (5 vs 3) and creative problem solving (4 vs 3) directly map to your use case.

Real-World Cost Comparison

TaskGemini 2.5 Flash LiteGPT-5.1
iChat response<$0.001$0.0053
iBlog post<$0.001$0.021
iDocument batch$0.022$0.525
iPipeline run$0.220$5.25

Bottom Line

Choose Gemini 2.5 Flash Lite if:

  • You're running high-volume pipelines where output token costs matter — $0.40/MTok vs $10.00/MTok means Flash Lite is roughly 25x cheaper on output.
  • Your primary use cases map to the seven tied benchmarks: long context retrieval, faithfulness to source, tool calling, agentic workflows, multilingual output, persona consistency, or constrained rewriting.
  • You need the largest context window available — 1,048,576 tokens vs GPT-5.1's 400,000.
  • You're building agentic systems that require function calling: Flash Lite scores 5/5 on tool calling vs GPT-5.1's 4/5.

Choose GPT-5.1 if:

  • Strategic analysis is central to your product — business strategy, competitive analysis, financial tradeoff reasoning. GPT-5.1 scores 5 vs Flash Lite's 3 on our strategic analysis benchmark.
  • You need strong classification accuracy for routing, moderation, or tagging pipelines and can absorb the cost premium.
  • Creative ideation quality matters enough to pay for: GPT-5.1 scores 4 vs 3 on creative problem solving.
  • You want math-heavy reasoning capability — GPT-5.1 scores 88.6% on AIME 2025 (Epoch AI), though no comparable score exists for Flash Lite in our data.
  • Volume is low enough that the 25x output cost difference is immaterial (under ~1M output tokens/month).

How We Test

We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.

Frequently Asked Questions