DeepSeek V3.1 Terminus vs GPT-4.1 Mini
GPT-4.1 Mini is the better pick for production assistants and agentic apps because it wins the majority of benchmarks (5 vs 3) and is stronger at tool calling, persona consistency, faithfulness and safety. DeepSeek V3.1 Terminus is the value choice — it wins structured output, strategic analysis and creative problem solving while costing roughly half as much per token.
deepseek
DeepSeek V3.1 Terminus
Benchmark Scores
External Benchmarks
Pricing
Input
$0.210/MTok
Output
$0.790/MTok
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openai
GPT-4.1 Mini
Benchmark Scores
External Benchmarks
Pricing
Input
$0.400/MTok
Output
$1.60/MTok
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Benchmark Analysis
Head-to-head by test (our 1–5 internal scores, with ranks where relevant):
- Structured output: DeepSeek 5 vs GPT‑4.1 Mini 4 — DeepSeek tied for 1st (tied with 24 others), so it is the stronger choice for strict JSON/schema compliance.
- Strategic analysis: DeepSeek 5 vs GPT‑4.1 Mini 4 — DeepSeek tied for 1st, indicating better nuanced tradeoff reasoning in our tests.
- Creative problem solving: DeepSeek 4 vs GPT‑4.1 Mini 3 — DeepSeek ranks 9 of 54, showing stronger non‑obvious idea generation.
- Constrained rewriting: DeepSeek 3 vs GPT‑4.1 Mini 4 — GPT‑4.1 Mini ranks 6 of 53, so it handles tight character limits and compression better.
- Tool calling: DeepSeek 3 (rank 47/54) vs GPT‑4.1 Mini 4 (rank 18/54) — GPT‑4.1 Mini is materially better at selecting functions, arguments and sequencing, making it preferable for agentic/tooled workflows.
- Faithfulness: DeepSeek 3 (rank 52/55) vs GPT‑4.1 Mini 4 (rank 34/55) — GPT‑4.1 Mini sticks to source material more reliably in our tests.
- Classification: tie 3 vs 3 — both models perform similarly for routing/categorization (rank 31 of 53 for each).
- Long context: tie 5 vs 5 — both models are top-ranked for 30K+ token retrieval (each tied for 1st). Expect solid performance on long documents.
- Agentic planning: tie 4 vs 4 — comparable goal decomposition and recovery.
- Multilingual: tie 5 vs 5 — both rank tied for 1st, so strong non‑English parity.
- Persona consistency: DeepSeek 4 (rank 38/53) vs GPT‑4.1 Mini 5 (tied for 1st) — GPT‑4.1 Mini is markedly better at maintaining character and resisting injection.
- Safety calibration: DeepSeek 1 vs GPT‑4.1 Mini 2 — GPT‑4.1 Mini ranks 12 of 55 vs DeepSeek rank 32; GPT‑4.1 Mini is more likely to refuse harmful requests while allowing legitimate ones in our tests. External benchmarks: GPT‑4.1 Mini scores 87.3% on MATH Level 5 and 44.7% on AIME 2025 (Epoch AI); DeepSeek has no external math scores in the payload. Use those external numbers as supplemental evidence for GPT‑4.1 Mini's math capability (attribution: Epoch AI). Overall: GPT‑4.1 Mini wins 5 tests vs DeepSeek's 3 wins, with 4 ties — so GPT‑4.1 Mini takes the majority, primarily on safety, persona and tool workflows, while DeepSeek is better for structured outputs and deeper strategic reasoning in our benchmarks.
Pricing Analysis
DeepSeek V3.1 Terminus: $0.21 per mTok input, $0.79 per mTok output. GPT-4.1 Mini: $0.40 per mTok input, $1.60 per mTok output. Assuming a 50/50 input/output token mix, monthly costs are: 1M tokens → DeepSeek $500 vs GPT-4.1 Mini $1,000; 10M → $5,000 vs $10,000; 100M → $50,000 vs $100,000. DeepSeek therefore runs at ~49.4% of GPT-4.1 Mini (priceRatio 0.49375). High-volume API users, startups and cost-sensitive production deployments should care most about this gap; output‑heavy workloads (large responses, content generation) magnify the cost difference because output price per mTok is where GPT-4.1 Mini is relatively more expensive ($1.60 vs $0.79).
Real-World Cost Comparison
Bottom Line
Choose DeepSeek V3.1 Terminus if: you need the best structured-output compliance, stronger strategic analysis and creative idea generation at a much lower price (costs ~49% of GPT‑4.1 Mini). Ideal for schema-driven pipelines, heavy-duty generation where cost is the binding constraint, and workflows that favor aggressive reasoning over conservative safety. Choose GPT-4.1 Mini if: you run assistants or agentic apps that rely on tool calling, strict persona consistency, faithfulness and safer declines — plus you want externally measured math performance (MATH Level 5 87.3%, AIME 44.7% per Epoch AI). It’s the production-safe option at a higher token cost.
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.