Claude Haiku 4.5 vs Codestral 2508 for Creative Problem Solving
Winner: Claude Haiku 4.5. In our testing on Creative Problem Solving, Claude Haiku 4.5 scores 4/5 vs Codestral 2508's 2/5 — a clear 2-point advantage and a much higher task rank (9 of 52 vs 46 of 52). Haiku’s lead is supported by stronger strategic_analysis (5 vs 2), agentic_planning (5 vs 4), persona_consistency (5 vs 3) and safety_calibration (2 vs 1). Codestral 2508 wins on structured_output (5 vs 4) and is far cheaper to run ($0.30 input / $0.90 output per mtoken vs Haiku’s $1.00 input / $5.00 output), but for non-obvious, specific, feasible ideas Haiku is the better AI choice in our benchmarks.
anthropic
Claude Haiku 4.5
Benchmark Scores
External Benchmarks
Pricing
Input
$1.00/MTok
Output
$5.00/MTok
modelpicker.net
mistral
Codestral 2508
Benchmark Scores
External Benchmarks
Pricing
Input
$0.300/MTok
Output
$0.900/MTok
modelpicker.net
Task Analysis
Creative Problem Solving demands non-obvious, specific, feasible ideas plus the ability to reason about tradeoffs, decompose goals, and present usable outputs. With no external benchmark provided, we rely on our internal creative_problem_solving test (Claude Haiku 4.5 = 4, Codestral 2508 = 2) as the primary signal. Supporting capability differences that explain the gap: strategic_analysis (Haiku 5 vs Codestral 2) shows Haiku gives more nuanced tradeoff reasoning; agentic_planning (5 vs 4) indicates better goal decomposition and recovery; tool_calling is tied (5 vs 5), so both can sequence tools accurately; structured_output favors Codestral (5 vs 4), so Codestral is stronger at strict schema-compliant responses. Persona_consistency (5 vs 3) and faithfulness (both 5) mean Haiku keeps a coherent voice while avoiding hallucination. Cost matters: Haiku output is $5.00 per mtoken vs Codestral $0.90, so scale and latency budgets can push teams toward Codestral despite lower creative scores.
Practical Examples
Where Claude Haiku 4.5 shines (use Haiku when):
- New product concepts: Haiku’s creative_problem_solving 4 and strategic_analysis 5 produce non-obvious, feasible feature sets and tradeoff reasoning developers can act on.
- Complex brainstorming that needs follow-up decomposition: agentic_planning 5 helps turn a high-level idea into stepwise experiments.
- User-facing ideation where voice and consistency matter: persona_consistency 5 reduces jarring style shifts. Where Codestral 2508 shines (use Codestral when):
- Schema-bound creative artifacts: structured_output 5 makes Codestral better at producing exact JSON/protocol-compliant ideas you’ll parse automatically.
- Cost- and latency-sensitive iterations: Codestral runs at $0.30 input / $0.90 output per mtoken, far cheaper than Haiku’s $1.00 / $5.00 — useful for high-volume A/B ideation.
- Quick code-adjacent creative solutions where long-context and tool_calling are needed (both have long_context 5 and tool_calling 5). Concrete grounded example: for a startup outlining ten novel monetization experiments with analysis and recovery paths, Haiku (4 vs 2) will produce more actionable, non-obvious options and a better failure-recovery plan. For producing 1,000 structured idea cards in strict JSON for automated ingestion, Codestral’s structured_output 5 and lower cost may be the pragmatic choice.
Bottom Line
For Creative Problem Solving, choose Claude Haiku 4.5 if you need higher-quality, non-obvious, feasible ideas with strong tradeoff reasoning and plan decomposition (Haiku: 4/5, rank 9 of 52). Choose Codestral 2508 if you need schema-exact outputs at much lower cost and throughput (Codestral: 2/5, structured_output 5; pricing $0.30 input / $0.90 output per mtoken).
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.