Models & Pricing

GPT-5.4 Nano vs Gemini 3.1 Flash Lite

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ComparisonGPT-5.4 Nano
gpt-5.4-nano
Gemini 3.1 Flash Lite
gemini-3.1-flash-lite
TypeChatChat
Best forFast, low-cost replies and high-volume everyday tasksFast, low-cost replies and high-volume everyday tasks
TokenRex price$0.20 in / $1.25 out per 1M tokens$0.25 in / $1.50 out per 1M tokens
Cached input / 1M tokens$0.02 per 1M tokens$0.025 per 1M tokens
Cache write / 1M tokensNo extra feeNo extra fee
Cached outputNot offered · standard output rate appliesNot offered · standard output rate applies
Web search$10.00 per 1K searches$14.00 per 1K searches
Market price$0.20 in / $1.25 out per 1M tokens$0.25 in / $1.50 out per 1M tokens
Context window (provider)400,000 tokensNot applicable
Input token limit (provider)Within the context window1,048,576 tokens
Maximum output128,000 tokens65,536 tokens
Knowledge cutoffAug 31, 2025—
Vendor input modalitiesNot verifiedNot verified
Vendor output modalitiesNot verifiedNot verified
TokenRex endpointsPOST /v1/chat/completionsPOST /v1/chat/completions
TokenRex inputText, Image/PDF content through the chat bridge—
TokenRex outputText—
Benchmarks
Benchmark evidence5 source-linked results3 source-linked results
SWE-Bench Pro (Public)
52.4%

Published reasoning effort: xhigh. SWE-Bench Pro (Public) | 57.7% | 54.4% | 52.4% | 45.7% | Published model-family result, not a test of TokenRex or its default effort.

OpenAI - Introducing GPT-5.4 mini and nano
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Terminal-Bench 2.0
46.3%

Published reasoning effort: xhigh. Terminal-Bench 2.0 | 75.1% | 60.0% | 46.3% | 38.2% | Published model-family result, not a test of TokenRex or its default effort.

OpenAI - Introducing GPT-5.4 mini and nano
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Toolathlon
35.5%

Published reasoning effort: xhigh. Toolathlon | 54.6% | 42.9% | 35.5% | 26.9% | Published model-family result, not a test of TokenRex or its default effort.

OpenAI - Introducing GPT-5.4 mini and nano
—
GPQA Diamond
82.8%

Published reasoning effort: xhigh. GPQA Diamond | 93.0% | 88.0% | 82.8% | 81.6% | Published model-family result, not a test of TokenRex or its default effort.

OpenAI - Introducing GPT-5.4 mini and nano
86.9%

Official Google-reported score at launch (March 2026), thinking levels enabled per model defaults. Published source text: 86.9% on GPQA Diamond and 76.8% on MMMU Pro

Google Blog – Gemini 3.1 Flash-Lite: Built for intelligence at scale
OSWorld-Verified
39%

Published reasoning effort: xhigh. OSWorld-Verified | 75.0% | 72.1% | 39.0% | 42.0% | Published model-family result, not a test of TokenRex or its default effort.

OpenAI - Introducing GPT-5.4 mini and nano
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MMMU Pro—
76.8%

Official Google-reported score at launch (March 2026). Published source text: 76.8% on MMMU Pro

Google Blog – Gemini 3.1 Flash-Lite: Built for intelligence at scale
Arena.ai Elo—
1432elo

Official Google-reported score at launch (March 2026). Published source text: 3.1 Flash-Lite achieves an impressive Elo score of 1432 on the Arena.ai Leaderboard

Google Blog – Gemini 3.1 Flash-Lite: Built for intelligence at scale

No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.

— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.

GPT-5.4 Nano

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Research notes (1)
  • Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.

Gemini 3.1 Flash Lite

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Research notes (1)
  • Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.

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