DeepSeek-V3 is the stronger all-rounder.
Scores updated · 13 tests both models report · How we compare
Where each one wins
Tests won in each of the two 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.
Coding rests on a single test.
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.
DeepSeek-V3 costs 89% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where DeepSeek-V3 pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+22.8points ahead
- Code for real scientific research problemsSciCode+22.7points ahead
Where Jamba 1.5 Large pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 13 tests both models report. The winning score is in its model's colour; marks a score checked independently.
ReasoningDeepSeek-V3
- GPQA DiamondDeepSeek-V3 by 22.865.542.7+22.8
- Humanity's Last Examtie4.74.1tie
Other results10 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.
- Arena HardDeepSeek-V3 by 2691.465.4+26
- MMLU-ProDeepSeek-V3 by 22.475.953.5+22.4
- MATHDeepSeek-V3 by 2190.269.2+21
- MMLUDeepSeek-V3 by 20.288.568.3+20.2
- NarrativeQADeepSeek-V3 by 13.279.666.4+13.2
- naturalquestions_closedbookDeepSeek-V3 by 7.346.739.4+7.3
- GSM8KDeepSeek-V3 by 79487+7
- AA IntelligenceDeepSeek-V3 by 3.79.76+3.7
- ARC-ChallengeDeepSeek-V3 by 2.395.393+2.3
- OpenBookQAtie95.494.8tie
Questions people ask
Which is better, DeepSeek-V3 or Jamba 1.5 Large?
DeepSeek-V3 wins all two areas where both have results: coding and reasoning. Jamba 1.5 Large wins none.
Which is better for coding?
DeepSeek-V3. It wins the one coding test both models report.
Which is cheaper?
DeepSeek-V3 costs $0.24 per million input tokens and $0.90 per million output tokens; Jamba 1.5 Large costs $2.00 and $8.00. That makes DeepSeek-V3 about 89% cheaper for the same work.
How do you compare the two?
We use the 13 benchmark tests both models have published scores on. The verdict counts the 3 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 10 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.