Agentic
Not comparable- Gemini 3.1 Flash-Lite
- Not measured
- GPT-5.4 mini
- 65.7
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Model comparison
Gemini 3.1 Flash-Lite vs GPT-5.4 mini
Updated July 31, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
GPT-5.4 mini has the higher public score estimate, 55.84 versus 50.15, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Gemini 3.1 Flash-Lite
Gemini 3.1 Flash-Lite has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Gemini 3.1 Flash-Lite
Gemini 3.1 Flash-Lite has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Gemini 3.1 Flash-Lite
Gemini 3.1 Flash-Lite has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Gemini 3.1 Flash-Lite
Gemini 3.1 Flash-Lite has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 Gemini 3.1 Flash-Lite only
1 Shared
13 GPT-5.4 mini only
- Shared results
- 1
- Gemini 3.1 Flash-Lite only
- 2
- GPT-5.4 mini only
- 13
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Coding
Not comparable- Gemini 3.1 Flash-Lite
- Not measured
- GPT-5.4 mini
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- Gemini 3.1 Flash-Lite
- Not measured
- GPT-5.4 mini
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Gemini 3.1 Flash-Lite
- Not measured
- GPT-5.4 mini
- 47.8
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3.1 Flash-Lite
- Not measured
- GPT-5.4 mini
- 21.7
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3.1 Flash-Lite
- Not measured
- GPT-5.4 mini
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 3.1 Flash-Lite
- 73.2
- GPT-5.4 mini
- 76.6
- Weighted basis
- 1 vs 1 rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 3.1 Flash-Lite
- Not measured
- GPT-5.4 mini
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Gemini 3.1 Flash-Lite | GPT-5.4 mini | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | Not measured | 65.7 | Not comparable0 vs 2 rows | Not comparable |
| Coding | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | 47.8 | Not comparable0 vs 2 rows | Not comparable |
| Math | Not measured | 21.7 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 73.2 | 76.6 | Not comparable1 vs 1 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Gemini 3.1 Flash-Lite
- $0.001
- Fits in one request
- GPT-5.4 mini
- $0.003
- Fits in one request
Gemini 3.1 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Gemini 3.1 Flash-Lite
- $0.017
- Fits in one request
- GPT-5.4 mini
- $0.051
- Fits in one request
Gemini 3.1 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Gemini 3.1 Flash-Lite
- $0.025
- Fits in one request
- GPT-5.4 mini
- $0.075
- Fits in one request
Gemini 3.1 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGemini 3.1 Flash-LiteGPT-5.4 mini
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3.1 Flash-Lite
GPT-5.4 mini
API model ID
Gemini 3.1 Flash-Lite
gemini-3.1-flash-lite
Google Gemini API pricingGPT-5.4 mini
gpt-5.4-mini
OpenAI GPT-5.4 mini model documentationCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3.1 Flash-Lite
$0.025 per 1M cached input tokens
Google Gemini API pricingGPT-5.4 mini
$0.075 per 1M cached input tokens
OpenAI pricingDocumented inputs
Gemini 3.1 Flash-Lite
Not sourced
GPT-5.4 mini
text, image
OpenAI model catalogDocumented outputs
Gemini 3.1 Flash-Lite
Not sourced
GPT-5.4 mini
Provider availability
Gemini 3.1 Flash-Lite
Not sourced
GPT-5.4 mini
Generally Available · OpenAI Responses API
OpenAI model catalogReasoning profile
Gemini 3.1 Flash-Lite
Non-Reasoning
GPT-5.4 mini
Reasoning
Weight access
Gemini 3.1 Flash-Lite
Proprietary
GPT-5.4 mini
Proprietary
License
Gemini 3.1 Flash-Lite
Proprietary
GPT-5.4 mini
Proprietary
Release date
Gemini 3.1 Flash-Lite
2026-03-03
GPT-5.4 mini
2026-03-17
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- GPT-5.4 mini has the higher public score estimate, 55.84 versus 50.15, but the 90% score intervals overlap.
- Workload cost
- Repository review: $0.017 vs $0.051. Cache-heavy agent loop: $0.025 vs $0.075.
- Context tradeoff
- Gemini 3.1 Flash-Lite has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence16 rows
Agentic
Gert Labs
Gemini 3.1 Flash-Lite38.46%SourceGPT-5.4 mini—Not directly comparable
Terminal-Bench 2.0
Gemini 3.1 Flash-Lite—GPT-5.4 mini60%SourceNot directly comparable
OSWorld-Verified
Gemini 3.1 Flash-Lite—GPT-5.4 mini72.1%SourceNot directly comparable
MCP Atlas
Gemini 3.1 Flash-Lite—GPT-5.4 mini57.7%SourceNot directly comparable
Toolathlon
Gemini 3.1 Flash-Lite—GPT-5.4 mini42.9%SourceNot directly comparable
τ²-bench results
Gemini 3.1 Flash-Lite—GPT-5.4 mini93.4%SourceNot directly comparable
Coding
Vibe Code Bench
Shared sourceGemini 3.1 Flash-Lite0.00%GPT-5.4 mini47.97%GPT-5.4 mini leads this result
FrontierCode 1.1 Main
Gemini 3.1 Flash-Lite—GPT-5.4 mini27.0%SourceNot directly comparable
Knowledge
Math
Multimodal
Frequently asked questions
Which is better, Gemini 3.1 Flash-Lite or GPT-5.4 mini?
GPT-5.4 mini has the higher public score estimate, 55.84 versus 50.15, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Gemini 3.1 Flash-Lite or GPT-5.4 mini?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, Gemini 3.1 Flash-Lite or GPT-5.4 mini?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, Gemini 3.1 Flash-Lite or GPT-5.4 mini?
For the stated presets, chat costs $0.001 on Gemini 3.1 Flash-Lite and $0.003 on GPT-5.4 mini; repository review costs $0.017 and $0.051; the cache-heavy agent loop costs $0.025 and $0.075. Costs use the listed standard API rates.
Which has the larger context window, Gemini 3.1 Flash-Lite or GPT-5.4 mini?
Gemini 3.1 Flash-Lite has the larger documented context window: 1M, compared with 400K.
Related comparisons
Last updated July 31, 2026
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