Claude Sonnet 4.6 vs Nex-N2-Pro
Wins 3 of 6 areas
Coding · Agents · Facts
Wins 3 of 6 areas
Reasoning · Long documents · Following instructions
The two are evenly matched.Claude Sonnet 4.6 is better at coding and agents; Nex-N2-Pro at reasoning and long documents.
Scores updated · 16 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 Sonnet 4.62 of 2 tests
- AgentsCarrying out multi-step tasks on its own20Claude Sonnet 4.62 of 2 tests
- FactsGetting facts right instead of making them up20Claude Sonnet 4.62 of 2 tests
- ReasoningHard problems that need careful thinking02Nex-N2-Pro2 of 3 tests · 1 tie
- Long documentsFinding answers in very long texts01Nex-N2-Pro1 of 1 test
- Following instructionsDoing exactly what it is asked01Nex-N2-Pro1 of 1 test
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.
Nex-N2-Pro costs 93% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where Claude Sonnet 4.6 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+46.5points ahead
- Customer-service tasks in a simulated bankτ-Bench V3 · Banking+16.9points ahead
- Code for real scientific research problemsSciCode+6.8points ahead
Where Nex-N2-Pro pulls ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+9.6points ahead
- Research-level physics problemsCritPt+5.5points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+1.7points ahead
Every test, side by side
All 16 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude Sonnet 4.6
- SciCodeClaude Sonnet 4.6 by 6.850.143.3+6.8
- Terminal-Bench 2.1Claude Sonnet 4.6 by 3.471.267.8+3.4
AgentsClaude Sonnet 4.6
- τ-Bench V3 · BankingClaude Sonnet 4.6 by 16.934.417.5+16.9
- GDPValClaude Sonnet 4.6 by 6.436.730.3+6.4
ReasoningNex-N2-Pro
- CritPtNex-N2-Pro by 5.53.18.6+5.5
- GPQA DiamondNex-N2-Pro by 1.787.589.2+1.7
- Humanity's Last Examtie33.633.7tie
FactsClaude Sonnet 4.6
- AA-Omniscience · Non-hallucinationClaude Sonnet 4.6 by 46.551.65.1+46.5
- AA-Omniscience · AccuracyClaude Sonnet 4.6 by 6.140.934.8+6.1
Following instructionsNex-N2-Pro
- IFBenchNex-N2-Pro by 9.656.666.2+9.6
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 Sonnet 4.6 by 39.212.2-27.1+39.2
- τ²-Bench Telecom (AA run)Nex-N2-Pro by 5.975.781.6+5.9
- Artificial Analysis Coding IndexClaude Sonnet 4.6 by 3.96359.1+3.9
- AA Agentic IndexClaude Sonnet 4.6 by 1.933.131.2+1.9
- AA IntelligenceClaude Sonnet 4.6 by 1.930.128.2+1.9
Questions people ask
Which is better, Claude Sonnet 4.6 or Nex-N2-Pro?
Claude Sonnet 4.6 and Nex-N2-Pro each win three of the six areas where both have results. Claude Sonnet 4.6 wins coding, agents and facts; Nex-N2-Pro wins reasoning, long documents and following instructions. Nex-N2-Pro costs 93% less.
Which is better for coding?
Claude Sonnet 4.6. It wins 2 of the 2 coding tests both models report; Nex-N2-Pro wins none.
Which is cheaper?
Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Nex-N2-Pro costs $0.25 and $1.00. That makes Nex-N2-Pro about 93% cheaper for the same work.
How do you compare the two?
We use the 16 benchmark tests both models have published scores on. The verdict counts the 11 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.