Claude Haiku 4.5 vs Gemma 4 26B A4B

We ran a 12-test suite and compare each score below (all claims refer to our testing). Scores use a 1–5 internal scale. Wins/ties per test: - strategic_analysis: tie (both 5). Both rank tied for 1st — means both excel at nuanced tradeoff reasoning. - agentic_planning: Claude Haiku 4.5 5 vs Gemma 4 26B A4B 4 — Haiku wins and is tied for 1st (better at goal decomposition and failure recovery in our tests). - structured_output: Haiku 4 vs Gemma 5 — Gemma wins and ranks tied for 1st (better JSON/schema compliance in our testing). - constrained_rewriting: tie (both 3; rank 31 of 53) — neither is ideal for aggressive compression within hard limits. - creative_problem_solving: tie (both 4; rank 9 of 54) — both generate feasible, non-obvious ideas at similar quality. - tool_calling: tie (both 5; tied for 1st) — both select functions and arguments accurately in our tests. - faithfulness: tie (both 5; tied for 1st) — both stick to source material without hallucinating in our benchmarks. - classification: tie (both 4; tied for 1st) — both route and categorize accurately in our tests. - long_context: tie (both 5; tied for 1st) — both handle 30K+ token retrieval accurately. - persona_consistency: tie (both 5; tied for 1st) — both maintain role and resist injection. - multilingual: tie (both 5; tied for 1st) — equivalent non-English quality in our suite. - safety_calibration: Claude Haiku 4.5 2 vs Gemma 1 — Haiku wins (rank 12 vs Gemma rank 32), meaning Haiku better balances refusing harmful requests while permitting legitimate ones in our tests. Summary: Claude Haiku 4.5 wins agentic_planning and safety_calibration; Gemma wins structured_output; the other nine tests tie. For concrete task impact: choose Gemma when strict schema/JSON output is critical; choose Haiku when you need stronger planning and safer refusals despite higher cost.

Output pricing (per 1,000 tokens): Claude Haiku 4.5 = $5.00/mTok, Gemma 4 26B A4B = $0.35/mTok (price ratio ≈ 14.29x). At output volumes only: 1M tokens → Haiku $5,000 vs Gemma $350; 10M → Haiku $50,000 vs Gemma $3,500; 100M → Haiku $500,000 vs Gemma $35,000. Input costs add on top (Haiku $1.00/mTok; Gemma $0.08/mTok): for a 1:1 input/output pattern, add $1,000 vs $80 per 1M tokens. Who should care: cost-sensitive production deployments, consumer apps, or large-scale batch inference (10M–100M tokens/month) will see large savings with Gemma; teams prioritizing safety and agentic planning may accept Haiku’s higher costs.

Choose Claude Haiku 4.5 if you need stronger agentic planning, better safety calibration, long-context handling up to 200k tokens, and are willing to pay higher per-token prices (output $5/mTok). Choose Gemma 4 26B A4B if you need best-in-class structured output (JSON/schema adherence), the largest context (262,144 tokens), multimodal video→text support, and significantly lower cost (output $0.35/mTok) for high-volume deployments.