GPT-5.1 vs Llama 4 Scout
Wins 7 of 7 areas
Coding · Agents · Reasoning · Facts · Images and charts · Long documents · Following instructions
Wins 0 of 7 areas
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GPT-5.1 is the stronger all-rounder.Llama 4 Scout is cheaper.
Scores updated · 31 tests both models report · How we compare
Where each one wins
Tests won in each of the seven 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 software40GPT-5.14 of 4 tests
- ReasoningHard problems that need careful thinking40GPT-5.14 of 4 tests
- AgentsCarrying out multi-step tasks on its own20GPT-5.12 of 2 tests
- Images and chartsUnderstanding pictures, charts and video20GPT-5.12 of 2 tests
- FactsGetting facts right instead of making them up21GPT-5.12 of 3 tests
- Long documentsFinding answers in very long texts10GPT-5.11 of 1 test
- Following instructionsDoing exactly what it is asked10GPT-5.11 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.
Llama 4 Scout 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 GPT-5.1 pulls ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+67.2points ahead
- Reasons across sets of long documentsAA-LCR+52.3points ahead
- Command-line tasks in a real terminalTerminal-Bench 2.1+48.7points ahead
Where Llama 4 Scout pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 31 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5.1
- SWE-bench VerifiedGPT-5.1 by 67.276.39.1+67.2
- Terminal-Bench 2.1GPT-5.1 by 48.752.43.7+48.7
- Terminal-Bench HardGPT-5.1 by 4445.51.5+44
- SciCodeGPT-5.1 by 2243.321.3+22
AgentsGPT-5.1
- GDPValGPT-5.1 by 16.516.50+16.5
- τ-Bench V3 · BankingGPT-5.1 by 12.615.93.3+12.6
ReasoningGPT-5.1
- GPQA DiamondGPT-5.1 by 28.687.358.7+28.6
- Humanity's Last ExamGPT-5.1 by 24.728.53.8+24.7
- ARC-AGI-2GPT-5.1 by 17.617.60+17.6
- CritPtGPT-5.1 by 4.94.90+4.9
FactsGPT-5.1
- AA-Omniscience · Non-hallucinationGPT-5.1 by 27.548.120.6+27.5
- AA-Omniscience · AccuracyGPT-5.1 by 22.537.715.2+22.5
- Vectara HHEM hallucination ratelower is betterLlama 4 Scout by 4.412.17.7+4.4
Images and chartsGPT-5.1
Other results14 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.
- τ²-Bench Telecom (AA run)GPT-5.1 by 66.481.915.5+66.4
- AA-OmniscienceGPT-5.1 by 57.55.4-52.1+57.5
- Artificial Analysis Coding IndexGPT-5.1 by 41.249.48.2+41.2
- HarmBenchGPT-5.1 by 37.697.660+37.6
- AIR-Bench 2024GPT-5.1 by 33.986.252.3+33.9
- AA IntelligenceGPT-5.1 by 16.624.78.1+16.6
- MMLU-ProGPT-5.1 by 12.78774.3+12.7
- vectara_avg_summary_lengthGPT-5.1 by 117.1 rating points254.4137.3+117.1 rating
- vectara_factual_consistencyLlama 4 Scout by 4.487.992.3+4.4
- anthropic_red_teamGPT-5.1 by 399.596.5+3
- simple_safety_testsGPT-5.1 by 2.899.897+2.8
- XSTestGPT-5.1 by 2.698.295.6+2.6
- bbqGPT-5.1 by 1.288.787.5+1.2
- vectara_answer_rateGPT-5.1 by 110099+1
Questions people ask
Which is better, GPT-5.1 or Llama 4 Scout?
GPT-5.1 wins all seven areas where both have results: coding, agents, reasoning, facts, images and charts, long documents and following instructions. Llama 4 Scout wins none, but costs 92% less.
Which is better for coding?
GPT-5.1. It wins 4 of the 4 coding tests both models report; Llama 4 Scout wins none.
Which is cheaper?
GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Llama 4 Scout costs $0.19 and $0.68. That makes Llama 4 Scout about 92% cheaper for the same work.
How do you compare the two?
We use the 31 benchmark tests both models have published scores on. The verdict counts the 17 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 14 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.