Gemini 3.1 Pro Preview vs GPT-5
For most production use cases—tooling, classification, and high-accuracy math—GPT-5 is the better pick: it wins 2 of 12 benchmarks in our 12-test suite and posts 98.1% on MATH Level 5 (Epoch AI). Gemini 3.1 Pro Preview is the stronger creative problem solver (5/5 in our tests), offers a much larger context window (1,048,576 tokens) and broader multimodal ingest, but costs about 20% more per token.
Gemini 3.1 Pro Preview
Benchmark Scores
External Benchmarks
Pricing
Input
$2.00/MTok
Output
$12.00/MTok
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GPT-5
Benchmark Scores
External Benchmarks
Pricing
Input
$1.25/MTok
Output
$10.00/MTok
modelpicker.net
Benchmark Analysis
Our comparison uses a 12-test suite (scores 1–5) and ties/wins from our testing. Wins and ties: GPT-5 wins tool_calling (5 vs 4) and classification (4 vs 2) in our tests — this matters for function selection, argument accuracy, and routing tasks (GPT-5 ranks tied for 1st in tool_calling and tied for 1st in classification). Gemini wins creative_problem_solving (5 vs 4) in our tests, ranking tied for 1st in creative_problem_solving — important for non-obvious idea generation. The two models tie across structured_output (5/5), strategic_analysis (5/5), constrained_rewriting (4/4), faithfulness (5/5), long_context (5/5), safety_calibration (2/2), persona_consistency (5/5), agentic_planning (5/5), and multilingual (5/5) — meaning similar behavior on JSON schema compliance, nuanced tradeoffs, long-context retrieval, safety refusal patterns, and multilingual output in our tests. External benchmarks (Epoch AI) supplement our results: GPT-5 scores 98.1% on MATH Level 5 (Epoch AI) and 73.6% on SWE-bench Verified (Epoch AI), while Gemini scores 95.6% on AIME 2025 (Epoch AI) in our available data. Rankings context: Gemini is tied for 1st in structured_output, creative_problem_solving, strategic_analysis and several other categories (see our rankings displays); GPT-5 is tied for 1st in tool_calling and ranks 1st on MATH Level 5 (Epoch AI). In practice: choose GPT-5 when you need robust function/tool orchestration, higher classification accuracy, or top-tier math performance; choose Gemini when you need superior ideation/creative solutions, the largest context window (1,048,576 tokens), or broader multimodal ingest (text+image+file+audio+video->text).
Pricing Analysis
Pricing per mTok from the payload: Gemini input $2 / output $12; GPT-5 input $1.25 / output $10. Assuming a 50/50 split of input/output tokens, combined cost per mTok is $7.00 for Gemini and $5.625 for GPT-5. Monthly examples: at 1M tokens (1,000 mTok) the bill is ~$7,000 (Gemini) vs ~$5,625 (GPT-5) — a $1,375 difference; at 10M tokens it's ~$70,000 vs ~$56,250 — a $13,750 gap; at 100M tokens it's ~$700,000 vs ~$562,500 — a $137,500 gap. Who should care: high-volume API customers and startups with narrow margins will prefer GPT-5 for lower unit cost; teams needing multimodal ingest and massive context who can absorb higher cloud spend may prefer Gemini despite the ~20% premium.
Real-World Cost Comparison
Bottom Line
Choose Gemini 3.1 Pro Preview if you need: creative problem solving (5/5 in our tests), extreme context length (1,048,576 tokens), or multimodal ingest including audio/video. Choose GPT-5 if you need: function/tool calling and classification (GPT-5 wins those benchmarks in our tests), top MATH Level 5 performance (98.1% on Epoch AI), or lower per-token cost — ideal for high-volume production APIs.
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.