Claude 3.5 Haiku vs LFM2-24B-A2B
Wins 3 of 6 areas
Coding · Facts · Long documents
Wins 2 of 6 areas
Reasoning · Following instructions
Claude 3.5 Haiku wins more areas, narrowly.LFM2-24B-A2B is better at reasoning.
Scores updated · 15 tests both models report · How we compare
Where each one wins
Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
- CodingWriting and fixing software20Claude 3.5 Haiku2 of 2 tests
- FactsGetting facts right instead of making them up20Claude 3.5 Haiku2 of 2 tests
- Long documentsFinding answers in very long texts10Claude 3.5 Haiku1 of 1 test
- ReasoningHard problems that need careful thinking01LFM2-24B-A2B1 of 3 tests · 2 ties
- Following instructionsDoing exactly what it is asked01LFM2-24B-A2B1 of 1 test
- AgentsCarrying out multi-step tasks on its own00Even0 each · 1 tie
Agents, long documents and following instructions rest on a single test each.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Claude 3.5 Haiku pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+27.9points ahead
- Code for real scientific research problemsSciCode+16.5points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+6.7points ahead
Where LFM2-24B-A2B pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+6.6points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+3.1points ahead
Every test, side by side
All 15 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude 3.5 Haiku
- SciCodeClaude 3.5 Haiku by 16.527.410.9+16.5
- Terminal-Bench HardClaude 3.5 Haiku by 2.32.30+2.3
ReasoningLFM2-24B-A2B
- GPQA DiamondLFM2-24B-A2B by 6.640.847.4+6.6
- Humanity's Last Examtie3.64.2tie
- CritPttie00tie
FactsClaude 3.5 Haiku
- AA-Omniscience · Non-hallucinationClaude 3.5 Haiku by 27.958.931+27.9
- AA-Omniscience · AccuracyClaude 3.5 Haiku by 6.713.26.5+6.7
Following instructionsLFM2-24B-A2B
- IFBenchLFM2-24B-A2B by 3.142.845.9+3.1
Other results5 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- AA-OmniscienceClaude 3.5 Haiku by 35.6-22.5-58.1+35.6
- τ²-Bench Telecom (AA run)Claude 3.5 Haiku by 13.524.611.1+13.5
- Artificial Analysis Coding IndexClaude 3.5 Haiku by 12.315.93.6+12.3
- AA IntelligenceClaude 3.5 Haiku by 38.95.9+3
- AA Agentic IndexLFM2-24B-A2B by 1.81.93.7+1.8
Questions people ask
Which is better, Claude 3.5 Haiku or LFM2-24B-A2B?
Claude 3.5 Haiku wins three of the six areas where both have results: coding, facts and long documents. LFM2-24B-A2B wins reasoning and following instructions. They are level on agents.
Which is better for coding?
Claude 3.5 Haiku. It wins 2 of the 2 coding tests both models report; LFM2-24B-A2B wins none.
How do you compare the two?
We use the 15 benchmark tests both models have published scores on. The verdict counts the 10 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 5 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.