Gemini 2.5 Pro vs Qwen3 8B
Wins 5 of 6 areas
Coding · Agents · Reasoning · Long documents · Following instructions
Wins 0 of 6 areas
—
Gemini 2.5 Pro is the stronger all-rounder.Qwen3 8B is cheaper.
Scores updated · 24 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 software30Gemini 2.5 Pro3 of 3 tests
- ReasoningHard problems that need careful thinking30Gemini 2.5 Pro3 of 3 tests
- AgentsCarrying out multi-step tasks on its own10Gemini 2.5 Pro1 of 3 tests · 2 ties
- Long documentsFinding answers in very long texts10Gemini 2.5 Pro1 of 1 test
- Following instructionsDoing exactly what it is asked10Gemini 2.5 Pro1 of 1 test
- FactsGetting facts right instead of making them up11Even1 each · 1 tie
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.
Qwen3 8B costs 92% 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 Gemini 2.5 Pro pulls ahead
- Command-line tasks in a real terminalTerminal-Bench 2.1+26.3points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+25.5points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+24.7points ahead
Where Qwen3 8B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 24 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGemini 2.5 Pro
- Terminal-Bench 2.1Gemini 2.5 Pro by 26.328.52.2+26.3
- Terminal-Bench HardGemini 2.5 Pro by 24.226.52.3+24.2
- SciCodeGemini 2.5 Pro by 18.446.327.9+18.4
AgentsGemini 2.5 Pro
- τ-Bench V3 · BankingGemini 2.5 Pro by 59.74.7+5
- GDPValtie00tie
- Terminal-Bench 4.0tie00tie
ReasoningGemini 2.5 Pro
- GPQA DiamondGemini 2.5 Pro by 24.783.658.9+24.7
- Humanity's Last ExamGemini 2.5 Pro by 14.1183.9+14.1
- CritPtGemini 2.5 Pro by 2.62.60+2.6
FactsEven
- AA-Omniscience · AccuracyGemini 2.5 Pro by 25.53913.6+25.5
- Vectara HHEM hallucination ratelower is betterQwen3 8B by 2.274.8+2.2
- AA-Omniscience · Non-hallucinationtie9.19.3tie
Following instructionsGemini 2.5 Pro
- IFBenchGemini 2.5 Pro by 15.248.733.5+15.2
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.
- LiveCodeBench (v5)Gemini 2.5 Pro by 52.175.623.5+52.1
- AA-OmniscienceGemini 2.5 Pro by 48.4-16.4-64.7+48.4
- Artificial Analysis Coding IndexGemini 2.5 Pro by 37.746.79+37.7
- τ²-Bench Telecom (AA run)Gemini 2.5 Pro by 26.354.127.8+26.3
- AIME 2024Gemini 2.5 Pro by 169276+16
- AIME 2025Gemini 2.5 Pro by 15.78367.3+15.7
- AA IntelligenceGemini 2.5 Pro by 7.7157.3+7.7
- vectara_avg_summary_lengthGemini 2.5 Pro by 22.8 rating points106.483.6+22.8 rating
- vectara_factual_consistencyQwen3 8B by 2.29395.2+2.2
- vectara_answer_ratetie99.199.9tie
Questions people ask
Which is better, Gemini 2.5 Pro or Qwen3 8B?
Gemini 2.5 Pro wins five of the six areas where both have results: coding, agents, reasoning, long documents and following instructions. Qwen3 8B wins none, but costs 92% less. They are level on facts.
Which is better for coding?
Gemini 2.5 Pro. It wins 3 of the 3 coding tests both models report; Qwen3 8B wins none.
Which is cheaper?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3 8B costs $0.18 and $0.70. That makes Qwen3 8B about 92% cheaper for the same work.
How do you compare the two?
We use the 24 benchmark tests both models have published scores on. The verdict counts the 14 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.