Gemini 3 Flash Preview vs Gemma 4 26B A4B
Gemini 3 Flash Preview is the practical pick when you need stronger agentic planning, creative problem solving, and constrained rewriting in our tests. Gemma 4 26B A4B ties on most core skills and is far cheaper — pick Gemma 4 when cost at scale matters.
Gemini 3 Flash Preview
Benchmark Scores
External Benchmarks
Pricing
Input
$0.500/MTok
Output
$3.00/MTok
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Gemma 4 26B A4B
Benchmark Scores
External Benchmarks
Pricing
Input
$0.080/MTok
Output
$0.350/MTok
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Benchmark Analysis
Summary of head-to-head results from our 12-test suite: Gemini 3 Flash Preview wins 3 tests outright (constrained_rewriting 4 vs 3, creative_problem_solving 5 vs 4, agentic_planning 5 vs 4). The pair ties on structured_output (both 5 — Gemini tied for 1st of 54), strategic_analysis (both 5), tool_calling (both 5 — tied for 1st of 54), faithfulness (both 5 — tied for 1st of 55), classification (both 4 — tied for 1st of 53), long_context (both 5 — tied for 1st of 55), persona_consistency (both 5), multilingual (both 5), and safety_calibration (both score 1 and rank 32 of 55). Notable specifics: • Constrained rewriting: Gemini 3 scored 4 (rank 6 of 53) vs Gemma 4’s 3 (rank 31), meaning Gemini 3 is measurably better at tight-character compression and format-preserving transforms. • Creative problem solving: 5 vs 4 (Gemini 3 ranks tied for 1st), so Gemini 3 produces more non-obvious, actionable ideas in our tests. • Agentic planning: 5 (Gemini 3, tied for 1st) vs 4 (Gemma 4, rank 16), so Gemini 3 better decomposes goals and recovery plans. • Tool calling and structured outputs are effectively equal in capability per our tests (both tied for top ranks), so developers needing function selection, argument accuracy, or JSON/schema adherence will see comparable behavior. • Safety calibration is weak for both (score 1, rank 32/55), so neither model is a robust out-of-the-box safety gate. External benchmarks: Gemini 3 Flash Preview scores 75.4% on SWE-bench Verified and 92.8% on AIME 2025 (Epoch AI), which supports its relative strength on coding-style tasks and math reasoning in third-party measures; Gemma 4 has no external scores in the payload.
Pricing Analysis
Pricing per million tokens (input+output assumed equal): Gemini 3 Flash Preview charges $0.50 (input) + $3.00 (output) = $3.50 per 1M input+1M output tokens. Gemma 4 26B A4B charges $0.08 + $0.35 = $0.43 per the same volume. At 1M/1M tokens monthly that’s $3.50 vs $0.43; at 10M/10M it’s $35.00 vs $4.30; at 100M/100M it’s $350.00 vs $43.00. The 8.571× priceRatio means heavy-volume apps (10M+ combined tokens/month) should strongly consider Gemma 4 for cost efficiency; small teams or latency/feature-sensitive workloads may accept Gemini 3’s premium for the specific quality gains shown in our benchmarks.
Real-World Cost Comparison
Bottom Line
Choose Gemini 3 Flash Preview if you need: • stronger agentic planning and goal decomposition (score 5 vs 4), • better creative problem-solving (5 vs 4), or • superior constrained rewriting (4 vs 3) — and you can tolerate ~8.6× higher per-token cost. Choose Gemma 4 26B A4B if you need: • nearly the same long-context, tool-calling, structured output, classification, faithfulness, multilingual, and persona consistency at a fraction of the cost (combined $0.43 vs $3.50 per 1M input+1M output tokens). Gemma 4 is the choice for high-volume, cost-sensitive deployments where the three Gemini advantages are non-essential.
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.