Gemma 4 26B A4B vs GPT-4o
Pick Gemma 4 26B A4B for most production and high-volume use cases: in our testing it wins 7 of 12 benchmarks (structured output, long-context, tool calling, etc.) and is far cheaper. GPT-4o ties on several safety/consistency tests and provides external math/coding scores (Epoch AI), but its $10/mTok output makes it a costly choice at scale.
Gemma 4 26B A4B
Benchmark Scores
External Benchmarks
Pricing
Input
$0.080/MTok
Output
$0.350/MTok
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GPT-4o
Benchmark Scores
External Benchmarks
Pricing
Input
$2.50/MTok
Output
$10.00/MTok
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Benchmark Analysis
Summary of our 12-test suite (scores are from our testing unless marked external). Wins/ties: Gemma 4 26B A4B wins structured output (5 vs 4), strategic analysis (5 vs 2), creative problem solving (4 vs 3), tool calling (5 vs 4), faithfulness (5 vs 4), long context (5 vs 4), multilingual (5 vs 4). No pure wins for GPT-4o; ties are constrained rewriting (3 vs 3), classification (4 vs 4), safety calibration (1 vs 1), persona consistency (5 vs 5), agentic planning (4 vs 4). What this means in practice: • Structured output (JSON/schema): Gemma scores 5 vs GPT‑4o 4 — Gemma is tied for 1st on this test in our rankings, so expect more reliable schema adherence in production. • Strategic analysis: Gemma 5 vs GPT‑4o 2 — a large gap; Gemma is tied for 1st while GPT‑4o ranks low, so Gemma gives more accurate multi-step tradeoff reasoning. • Tool calling & sequencing: Gemma 5 vs 4 — Gemma is tied for 1st on tool calling, implying better function selection and argument accuracy in our tasks. • Long context: Gemma 5 vs 4 — Gemma ties for 1st for retrieval accuracy at 30K+ tokens, important for large documents. • Faithfulness & multilingual: Gemma 5 vs 4 in both — tied for 1st on faithfulness and multilingual in our rankings, so fewer hallucinations and stronger non-English outputs in our tests. • Safety and persona: both models scored 1 on safety calibration and 5 on persona consistency in our tests (ties), so neither has an edge in our safety calibration test. External benchmarks: GPT-4o has third‑party scores on Epoch AI tests — SWE-bench Verified 31% (Epoch AI), MATH Level 5 53.3% (Epoch AI), AIME 2025 6.4% (Epoch AI) — we report these as supplementary signals, not as replacements for our 12-test suite.
Pricing Analysis
Raw per‑thousand-token prices from the payload: Gemma 4 26B A4B input $0.08/mTok, output $0.35/mTok; GPT-4o input $2.50/mTok, output $10.00/mTok. Output-only monthly costs: for 1M output tokens Gemma = $350 vs GPT-4o = $10,000; for 10M: Gemma = $3,500 vs GPT-4o = $100,000; for 100M: Gemma = $35,000 vs GPT-4o = $1,000,000. If you model 50% input / 50% output token usage, combined costs per month are: 1M total tokens Gemma ≈ $215 vs GPT-4o ≈ $6,250; 10M: Gemma ≈ $2,150 vs GPT-4o ≈ $62,500; 100M: Gemma ≈ $21,500 vs GPT-4o ≈ $625,000. The cost gap matters for any application with sustained high volume (SaaS, large-scale chat, chain-of-thought pipelines). Low-volume prototypes or teams who value external benchmark signals from Epoch AI may still justify GPT-4o despite the price.
Real-World Cost Comparison
Bottom Line
Choose Gemma 4 26B A4B if you need production-grade structured outputs, long-context retrieval, multilingual fidelity, tool-calling reliability, or you operate at nontrivial scale — it wins 7 of 12 tests in our suite and costs $0.35/mTok output (≈$350 per 1M output tokens). Choose GPT-4o if you place higher weight on the external Epoch AI scores shown for SWE-bench and math benchmarks or if you need specific OpenAI integrations; expect far higher per-token costs ($10/mTok output) and fewer wins on our internal tests.
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.