Claude Sonnet 4.6 vs Gemma 4 31B

High-level result: in our 12-test suite Claude Sonnet 4.6 wins 3 tests, Gemma 4 31B wins 2, and 7 tests are ties. Detailed walk-through (scores are our 1–5 internal scale unless otherwise noted):

• Creative problem solving: Claude Sonnet 4.6 5 vs Gemma 4 31B 4 — Sonnet wins. In our testing Sonnet is tied for 1st with 7 others ("tied for 1st with 7 other models out of 54 tested"), so expect stronger non-obvious, feasible ideas from Sonnet on hard brainstorming tasks.

• Long context: Sonnet 5 vs Gemma 4 — Sonnet wins. Sonnet’s long_context ranking is "tied for 1st with 36 other models out of 55 tested," while Gemma ranks much lower ("rank 38 of 55"). For retrieval or multi-document tasks past 30K tokens, Sonnet is the safer choice in our tests.

• Safety calibration: Sonnet 5 vs Gemma 2 — Sonnet wins decisively and ranks "tied for 1st with 4 other models out of 55 tested." Gemma’s 2 ("rank 12 of 55") indicates more permissive behaviour in our safety calibration tests; choose Sonnet for safety-critical moderation or compliance.

• Structured output (JSON/schema): Sonnet 4 vs Gemma 5 — Gemma wins. Gemma is "tied for 1st with 24 other models out of 54 tested," so it is better at strict schema adherence and format compliance in our evaluations.

• Constrained rewriting (hard character limits): Sonnet 3 vs Gemma 4 — Gemma wins and ranks "6 of 53." If you need aggressive compression into tight character budgets, Gemma outperformed Sonnet in our tests.

• Ties (no clear winner in our testing): strategic_analysis (5 vs 5), tool_calling (5 vs 5), faithfulness (5 vs 5), classification (4 vs 4), persona_consistency (5 vs 5), agentic_planning (5 vs 5), multilingual (5 vs 5). For these tasks both models performed equivalently in our suite; note Sonnet’s rankings often show it tied for top places (e.g., tool_calling: "tied for 1st with 16 other models out of 54 tested").

• External benchmarks: Beyond our internal scores, Sonnet 4.6 scores 75.2% on SWE-bench Verified (Epoch AI) and 85.8% on AIME 2025 (both reported in the payload). We cite those as supplementary evidence for Sonnet’s coding/math performance; Gemma has no external scores in this payload.

Practical meaning: Sonnet is the stronger choice where long-context retrieval, safe refusal behavior, and creative/agentic workflows matter. Gemma is better when you need reliable JSON/schema outputs or tight-character rewriting while minimizing cost.

Per the payload, Claude Sonnet 4.6 costs $3 per mTok input and $15 per mTok output; Gemma 4 31B costs $0.13 per mTok input and $0.38 per mTok output. That output-rate gap (15 / 0.38 = ~39.47x) is the primary cost driver. Example costs if all tokens are billed as output tokens: 1M tokens → Sonnet $15,000 vs Gemma $380; 10M → Sonnet $150,000 vs Gemma $3,800; 100M → Sonnet $1,500,000 vs Gemma $38,000. If you assume a 50/50 input/output split: 1M total tokens → Sonnet $9,000 vs Gemma $255; 10M → Sonnet $90,000 vs Gemma $2,550; 100M → Sonnet $900,000 vs Gemma $25,500. Teams doing high-volume inference, embeddings, or chat at millions of tokens/month should care — Gemma drastically reduces monthly bills, while Sonnet’s costs only justify themselves when its superior long-context, safety, or creative/agentic capabilities produce measurable value.

Choose Claude Sonnet 4.6 if you need: long-context retrieval (Sonnet 5 vs Gemma 4), safer responses (Sonnet 5 vs Gemma 2), superior creative problem solving (5 vs 4), or agentic/tool-driven workflows where Sonnet ranks at or near the top in our tests. Choose Gemma 4 31B if you need: strict structured output and schema compliance (Gemma 5 vs Sonnet 4), better constrained rewriting into tight character limits (Gemma 4 vs Sonnet 3), or you have high-volume production needs and must minimize cost — Gemma’s output costs ($0.38 per mTok) are ~39.47x lower than Sonnet’s ($15 per mTok).