Claude Haiku 4.5 vs Codestral 2508

Across our 12-test suite (reported in the payload), Claude Haiku 4.5 wins the majority of task categories. Head-to-head scores (our 1-5 internal scale): strategic_analysis 5 vs 2 — Haiku wins and ranks “tied for 1st” (with 25 others) on strategic analysis, which matters for nuanced tradeoff reasoning and numeric decisions. Creative_problem_solving 4 vs 2 — Haiku’s rank 9 of 54 vs Codestral’s rank 47 means Haiku generates more non-obvious, feasible ideas. Classification 4 vs 3 — Haiku ties for 1st on classification (highly accurate routing/categorization) while Codestral is mid-pack (rank 31/53). Safety_calibration 2 vs 1 — Haiku is safer in our tests (rank 12 vs Codestral’s rank 32), meaning it more reliably refuses harmful requests while allowing legitimate ones. Persona_consistency 5 vs 3 — Haiku is tied for 1st (strong character maintenance); Codestral ranks 45 of 53. Agentic_planning 5 vs 4 — Haiku ties for 1st (better goal decomposition and recovery); Codestral ranks 16 of 54. Multilingual 5 vs 4 — Haiku ties for 1st; Codestral is lower (rank 36 of 55), so Haiku is superior for non-English parity. Codestral’s clear win is structured_output 5 vs Haiku’s 4 — Codestral ties for 1st on structured_output (JSON/schema compliance) and is the better pick when strict format adherence or schema validation is required. Four tests are ties: constrained_rewriting (3/3, rank 31 both), tool_calling (5/5, both tied for 1st), faithfulness (5/5, tied for 1st), and long_context (5/5, both tied for 1st). In practice: choose Haiku for strategy, creative tasks, safety, persona and multilingual work; choose Codestral when exact output format, low per-token cost, or coding-focused pipelines matter.

Costs in the payload are per mTok (per 1,000 tokens): Claude Haiku 4.5 charges $1 input + $5 output per mTok; Codestral 2508 charges $0.30 input + $0.90 output per mTok. Assuming a 50/50 split of input vs output tokens (state this as an explicit assumption), monthly costs are: for 1,000,000 tokens (1,000 mTok total => 500 mTok input + 500 mTok output) Haiku = $500 + $2,500 = $3,000; Codestral = $150 + $450 = $600. For 10M tokens: Haiku $30,000 vs Codestral $6,000. For 100M tokens: Haiku $300,000 vs Codestral $60,000. The payload’s priceRatio is 5.555..., so Haiku scales to be roughly 5.56x more expensive at the same token mix. Who should care: startups and high-volume API users will see six-figure differences at 100M tokens/month; teams focused on strict JSON outputs, CI/test generation, or low-cost fine-grained code ops should prefer Codestral for cost efficiency.

Choose Claude Haiku 4.5 if you need top-tier strategic reasoning, multilingual parity, strong persona consistency, safety calibration and agentic planning — it wins 7 of 12 benchmarks and ties for 1st in several high-level categories. Choose Codestral 2508 if you need the best structured_output/JSON compliance, lower latency/cost for high-frequency coding tasks, or have heavy volume constraints — it wins structured_output and costs ~80% less by our 50/50 token-cost example. If budget is secondary and quality on reasoning/multilingual/safety matters, pick Haiku; if cost and strict schema outputs are the priority, pick Codestral.