Gemma 4 26B A4B vs Mistral Medium 3.1

Head-to-head across our 12-test suite: Gemma wins 4 tests, Mistral wins 3, and 5 are ties. Detailed breakdown: 1) structured output — Gemma 5 vs Mistral 4: Gemma is tied for 1st (tied with 24 others out of 54), so it’s stronger for strict JSON/schema adherence. 2) creative problem solving — Gemma 4 vs Mistral 3: Gemma ranks 9/54 (shared) vs Mistral 30/54, meaning Gemma gives more specific, feasible ideation. 3) tool calling — Gemma 5 vs Mistral 4: Gemma is tied for 1st (with 16 others), so it selects and sequences functions more reliably in our tests. 4) faithfulness — Gemma 5 vs Mistral 4: Gemma ties for 1st (with 32 others), indicating fewer hallucinations on source-based tasks. 5) constrained rewriting — Gemma 3 vs Mistral 5: Mistral is tied for 1st here, so it compresses and rewrites under hard character limits better. 6) safety calibration — Gemma 1 vs Mistral 2: Mistral ranks 12/55 (shared), showing more consistent refusal/permissive behavior in sensitive prompts. 7) agentic planning — Gemma 4 vs Mistral 5: Mistral is tied for 1st (with 14 others), so it decomposes goals and recovers from failures better in our scenarios. The five tied categories (strategic analysis, classification, long context, persona consistency, multilingual) all show parity: both models score at the top in long context and multilingual (both 5), and both tie for 1st in classification and persona consistency. In practice this means: choose Gemma when you need best-in-class structured output, tool-calling reliability, faithfulness, larger context and lower cost; choose Mistral when constrained rewriting, safety calibration and agentic planning accuracy are higher priorities.

Per-token pricing (input+output per mTok) is $0.43 for Gemma ( $0.08 input + $0.35 output) and $2.40 for Mistral ( $0.40 input + $2.00 output). At realistic volumes assuming equal input/output proportions: 1M tokens/month = 1,000 mTok → Gemma $430 vs Mistral $2,400; 10M = Gemma $4,300 vs Mistral $24,000; 100M = Gemma $43,000 vs Mistral $240,000. The payload’s priceRatio (0.175) means Gemma costs ~17.5% of Mistral per-token. Teams with high throughput (SaaS, indexing, large multi-user apps) should care: using Mistral at scale multiplies monthly infrastructure spend by ~5.6x vs Gemma. For low-volume or safety-sensitive applications, the higher Mistral cost may be justified but expect materially higher monthly bills.

Choose Gemma 4 26B A4B if you need: cost-efficient inference at scale (per-mTok $0.08/$0.35), a massive 262,144-token context window, best-in-class structured output (5/5, tied for 1st), top tool-calling (5/5) and stronger faithfulness (5/5). Choose Mistral Medium 3.1 if you need: superior constrained rewriting (5/5, tied for 1st), better safety calibration (2/5; ranks 12 of 55) and stronger agentic planning (5/5), and you can accept materially higher runtime costs ($0.40/$2 per mTok).