BenchLM recommendation
Best Value LLM for Reasoning in 2026 — Cost-Adjusted Rankings
As of July 23, 2026, the top model in best value llm for reasoning on the BenchLM leaderboard is Gemini 3.5 Flash with a score of 8.4.
Last verified: July 23, 2026
Reasoning models tend to be the most expensive tier — they use chain-of-thought, produce more output tokens, and are priced accordingly. This ranking divides each model's weighted reasoning score by output token price, revealing which models deliver the best abstract reasoning, long-context comprehension, and multi-step logic per dollar. For applications that need strong reasoning without frontier-model budgets, the value leaders here are worth serious consideration.
Unless noted otherwise, ranking surfaces on this page use BenchLM's provisional leaderboard lane rather than the stricter sourced-only verified leaderboard.
Bottom line: Reasoning models are expensive — chain-of-thought generates more output tokens. GPT-4.1 nano and Gemini 3.1 Flash-Lite offer the best reasoning per dollar.
What changed
GPT-4.1 nano leads reasoning value — best reasoning capability per dollar.
Gemini 3.1 Flash-Lite close second on reasoning value at the lowest price point.
Gemini 2.5 Flash good reasoning value with broader capabilities.
How to choose
Full Rankings (1 models)
Key Takeaways
The best value model is Gemini 3.5 Flash by Google with a provisional Score/$ ratio of 8.44 (score: 76, output: $9/1M tokens).
1 models are included in this ranking.
Score in Context
What these scores mean
Value scores divide the weighted reasoning score by output token price (per 1M tokens). Higher means more capability per dollar. Models with no listed price are excluded.
Known limitations
Value rankings favor cheap models even if absolute performance is modest. A model scoring half as well at one-tenth the price wins on value — but may not meet your quality bar. Always check raw scores alongside value rankings.
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