Gemma 4 26B A4B vs GPT-5 Mini

Across our 12-test suite the two models mostly tie: 9 metrics are ties, GPT-5 Mini wins 2 (constrained rewriting, safety calibration), and Gemma wins 1 (tool calling). Detailed walk-through: - Tool calling: Gemma 5 vs GPT-5 Mini 3 — Gemma is tied for 1st ("tied for 1st with 16 other models out of 54 tested") on tool calling in our benchmarks, meaning it selects and sequences functions and arguments more reliably for agentic workflows. - Safety calibration: Gemma 1 vs GPT-5 Mini 3 — GPT-5 Mini ranks 10 of 55 ("rank 10 of 55") for safety calibration in our tests, so it better refuses harmful requests while permitting legitimate ones. - Constrained rewriting: Gemma 3 vs GPT-5 Mini 4 — GPT-5 Mini ranks 6 of 53 for this task, making it the better choice for tight character/byte-limited rewrites. - Structured output: both 5 and tied for 1st ("tied for 1st with 24 other models"), so both models reliably follow JSON/schema requirements. - Strategic analysis, creative problem solving, faithfulness, classification, long context, persona consistency, agentic planning, multilingual: all tied (scores equal) — both models perform at top-tier levels for these practical tasks (e.g., long context = 5 and "tied for 1st with 36 other models"). Context on external benchmarks: GPT-5 Mini posts external scores on third-party tests — 97.8% on MATH Level 5 (Epoch AI, rank 2 of 14), 86.7% on AIME 2025 (Epoch AI, rank 9 of 23), and 64.7% on SWE-bench Verified (Epoch AI, rank 8 of 12). Per our external-benchmark rule these cited Epoch AI results supplement our internal scores and indicate GPT-5 Mini is especially strong on competition-level math and high-end coding/math tasks.

Raw per-mtok prices: Gemma 4 26B A4B charges $0.08 input / $0.35 output; GPT-5 Mini charges $0.25 input / $2.00 output. Using a simple 50/50 input-output token split (explicit assumption) gives blended per-mtok costs of $0.43 for Gemma vs $2.25 for GPT-5 Mini. At common volumes: 1M tokens/month (1,000 mtok) costs ~$430 with Gemma vs ~$2,250 with GPT-5 Mini; 10M tokens costs ~$4,300 vs ~$22,500; 100M tokens costs ~$43,000 vs ~$225,000. The cost gap matters most for high-volume APIs, multi-tenant SaaS, or large-scale fine-tuning/ingestion pipelines where token bills dominate. For low-volume experimentation or safety-critical deployments the higher GPT-5 Mini price may be justified; for cost-sensitive production agents, Gemma delivers substantially lower operating cost (price ratio ~0.175 in the payload).

Choose Gemma 4 26B A4B if you need the lowest token cost, top-tier tool-calling for agentic workflows, huge context windows (262,144 tokens), and strong all-around performance on structured output, long context, and multilingual tasks. Choose GPT-5 Mini if your priority is better safety calibration and constrained-rewriting behavior, or if you require the external benchmark strengths GPT-5 Mini shows on math (97.8% MATH Level 5) and SWE-bench (64.7% per Epoch AI), and you can absorb a ~5x higher per-token bill.