Gemma 4 26B A4B vs Grok 3 Mini
Pick Gemma 4 26B A4B for the most common production use case: it wins the majority of benchmark categories (5 wins) and is cheaper with a larger 262,144-token context and multimodal input. Choose Grok 3 Mini when safety calibration or constrained-rewriting/compression matters — it scores higher on safety (2 vs 1) and constrained rewriting (4 vs 3) despite higher pricing.
Gemma 4 26B A4B
Benchmark Scores
External Benchmarks
Pricing
Input
$0.080/MTok
Output
$0.350/MTok
modelpicker.net
xai
Grok 3 Mini
Benchmark Scores
External Benchmarks
Pricing
Input
$0.300/MTok
Output
$0.500/MTok
modelpicker.net
Benchmark Analysis
Per our 12-test suite results in the payload: Wins for Gemma 4 26B A4B (modelA): - structured output 5 vs 4: Gemma is tied for 1st ("tied for 1st with 24 other models out of 54 tested") — meaning Gemma reliably follows JSON/schema formats (good for API responses). - strategic analysis 5 vs 3: Gemma is tied for 1st ("tied for 1st with 25 other models out of 54 tested") — better at nuanced tradeoff reasoning with numbers. - creative problem solving 4 vs 3: Gemma ranks 9 of 54 — stronger at producing specific, feasible ideas. - agentic planning 4 vs 3: Gemma ranks 16 of 54 — better at goal decomposition and recovery. - multilingual 5 vs 4: Gemma is tied for 1st ("tied for 1st with 34 other models out of 55 tested") — higher parity in non‑English outputs. Wins for Grok 3 Mini (modelB): - constrained rewriting 4 vs 3: Grok ranks 6 of 53 — better at tight compression and character‑limited rewriting. - safety calibration 2 vs 1: Grok ranks 12 of 55 vs Gemma rank 32 — Grok is measurably better at refusing harmful requests while permitting legitimate ones. Ties: tool calling (5/5), faithfulness (5/5), classification (4/4), long context (5/5), persona consistency (5/5). Practical meaning: both models are equally strong on tool calling, long-context retrieval (both tied for 1st on long context), faithfulness and maintaining persona. Gemma’s advantages make it the stronger choice for structured data output, multilingual pipelines, strategic reasoning, and creative problem solving. Grok’s advantages make it safer and preferable for compression/constrained‑format tasks.
Pricing Analysis
All prices are from the payload (per-mtok). Gemma 4 26B A4B: input $0.08 / mTok, output $0.35 / mTok. Grok 3 Mini: input $0.30 / mTok, output $0.50 / mTok. Assuming 1 mTok = 1,000 tokens, per‑million-token costs are: - Gemma input: $80 / 1M, output: $350 / 1M. - Grok input: $300 / 1M, output: $500 / 1M. For a mixed 50/50 input/output traffic the monthly cost at typical volumes is: - 1M tokens: Gemma $215 vs Grok $400. - 10M tokens: Gemma $2,150 vs Grok $4,000. - 100M tokens: Gemma $21,500 vs Grok $40,000. Gemma is ~30% cheaper overall (priceRatio 0.7 in the payload). Who should care: high-volume applications (≥1M tokens/month) and output‑heavy generation services (where output rates drive costs) will see large absolute savings with Gemma. Low-volume hobby usage or narrow safety‑critical workflows might prefer Grok despite the cost premium.
Real-World Cost Comparison
Bottom Line
Choose Gemma 4 26B A4B if: - You need robust structured-output (JSON/schema) or API response generation (structured output 5, tied for 1st). - You want stronger strategic analysis (5) or creative problem solving (4). - You need large context (262,144 tokens) or multimodal input (text+image+video->text). - You care about cost: lower per‑token input/output (input $0.08, output $0.35). Choose Grok 3 Mini if: - Safety calibration is a priority (Grok safety calibration 2 vs Gemma 1; Grok ranks 12 of 55). - You require constrained rewriting/compression tasks (Grok constrained rewriting 4, rank 6 of 53). - You prefer a lightweight, text-only model with visible reasoning traces (quirk: uses_reasoning_tokens). Note tradeoffs: Grok is noticeably more expensive (input $0.30, output $0.50) and has a smaller 131,072-token context window.
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.