Gemma 4 26B A4B vs Mistral Large 3 2512

Across our 12-test suite Gemma 4 26B A4B wins 6 categories, ties 6, and Mistral Large 3 2512 wins none. Detailed walk-through (our scores are 1–5):

• Tool calling: Gemma 5 vs Mistral 4. In our tests Gemma is tied for 1st with 16 others (best-ranked) for function selection and argument accuracy; Mistral ranks 18 of 54. That means Gemma is more reliable when selecting and sequencing API/tool calls.
• Long context: Gemma 5 vs Mistral 4. Gemma is tied for 1st (tied with 36 others) for retrieval accuracy at 30K+ tokens; Mistral sits at rank 38/55. Use Gemma for very long documents or multi-file context.
• Creative problem solving: Gemma 4 vs Mistral 3. Gemma ranks 9/54 (strong), Mistral ranks 30/54. Expect Gemma to produce more non-obvious, feasible ideas in brainstorming tasks.
• Strategic analysis: Gemma 5 vs Mistral 4. Gemma is tied for 1st (tradeoff reasoning); Mistral ranks 27/54 — stronger numeric tradeoff reasoning on Gemma.
• Classification: Gemma 4 vs Mistral 3. Gemma ties for 1st (accurate routing/categorization); Mistral is lower (rank 31/53), so pipeline routing benefits from Gemma.
• Persona consistency: Gemma 5 vs Mistral 3. Gemma ties for 1st with many models; Mistral ranks 45/53. Gemma better resists prompt injection and keeps character/voice consistent. Ties (no clear winner in our tests): structured output 5/5 (both tied for 1st with 24 others), faithfulness 5/5 (both tied for 1st), multilingual 5/5 (both tied for 1st), agentic planning 4/4 (both rank 16/54), constrained rewriting 3/3, and safety calibration 1/1 (both rank 32/55). Practical meaning: both models are equally reliable at JSON/schema outputs and refusing harmful requests per our suite, but Gemma holds measurable advantages in tool workflows, long context, creative and strategic tasks. Rankings cited are from our testing (see per-metric displays: e.g., Gemma tied for 1st on structured output, faithfulness, long context and multilingual).

Gemma input/output pricing: $0.08/$0.35 per mTok. Mistral pricing: $0.50/$1.50 per mTok. Assuming a 50/50 input/output split, monthly cost for 1M total tokens (500k input + 500k output) is: Gemma ≈ $215 vs Mistral ≈ $1,000. For 10M tokens: Gemma ≈ $2,150 vs Mistral ≈ $10,000. For 100M tokens: Gemma ≈ $21,500 vs Mistral ≈ $100,000. At scale (>10M tokens/month) the cost gap becomes material for product teams and high-volume APIs — Gemma runs at ~23% of Mistral's per-token price (priceRatio 0.2333), so choose Mistral only if its non-price advantages (license or architecture) justify 4–5x higher billing.

Choose Gemma 4 26B A4B if: you need best-in-suite tool calling, long-context retrieval (30K+ tokens), stronger creative/problem-solving and persona consistency, multimodal support including video->text, and much lower cost (input $0.08 / output $0.35 per mTok). Choose Mistral Large 3 2512 if: you require Mistral’s Apache 2.0 release or specific vendor architecture (its description notes 41B active parameters, 675B total), you prefer Mistral’s provider ecosystem, and you can justify ~4–5x higher inference spend for those non-benchmark reasons. If cost and long-context/tool workflows matter, Gemma is the default pick.