Llama-2-13b-chat: benchmark scores, price and ranking

Llama-2-13b-chat from Meta AI ranks #596 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.3), based on 2 benchmark results captured up to 2026-10-13.

Organisation: Meta AI
Type: Open-weight / local model
Open weights: Yes
Released: 2023-07-18 (source: epoch)
Cheapest API price: $0.100 in / $0.500 out per million tokens (via replicate, observed 2026-10-13T20:47Z)
Aggregate rank: #596 of 743 (score 45.3)

Across the 2 benchmarks where at least ten models are scored, Llama-2-13b-chat is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.100 per million tokens, is lower than that of 79% of the 427 models with a listed price.

Llama-2-13b-chat benchmark results

Llama-2-13b-chat benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
Chess Puzzles	0.0%	#112 of 122	Epoch AI Benchmarking Hub	2026-10-13
DTBench	42.2%	#145 of 146	Epoch AI Benchmarking Hub	2026-10-13

About Llama-2-13b-chat

Llama-2-13b-chat is an open-weight model that can run on your own hardware from Meta AI. It was released on 2023-07-18, according to Epoch AI. The cheapest API listing we track charges $0.100 per million input tokens and $0.500 per million output tokens, through replicate. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where Llama-2-13b-chat stands

On our aggregate score, Llama-2-13b-chat is #596 of 743 ranked models, in the lower half. Its score is 45.3; the scale is centred on 50, so it sits 4.7 points below the typical model. That beats 20% of the ranked field. Among the 28 ranked Meta AI models it is #16. The next one up is Llama 3.1-8B at 45.3. The next one down is Llama-2-70b-chat at 45.3.

Llama-2-13b-chat, benchmark by benchmark

Chess Puzzles is a weak spot. Llama-2-13b-chat scores 0.0%, #112 of 122, behind 91% of the models measured. The leader, GPT-6 Astra (max), reaches 72.0%. It covers chess tactics puzzles. The board median is 12.5%, so Llama-2-13b-chat is 12.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

DTBench is a weak spot. Llama-2-13b-chat scores 42.2%, #145 of 146, behind 99% of the models measured. The leader, Claude Opus 5.5 (max), reaches 98.9%. It covers dynamic tool-use benchmark. The board median is 68.8%, so Llama-2-13b-chat is 26.6 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Llama-2-13b-chat has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Llama-2-13b-chat costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on MiMo-V2-Flash ($0.110) and qwen3-coder-next ($0.120).

Release history

The next one was Llama-2-70b-chat on 2023-07-18, at 45.3.

Reading these numbers

The 2 scores on this page come from 1 source: Epoch AI Benchmarking Hub (2). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#593 Command R+ (45.4)
#594 Qwen2.5-Coder-1.5B-Instruct (45.4)
#595 Llama 3.1-8B (45.3)
#597 WizardLM-2-8x22B (45.3)
#598 c4ai-command-r7b-12-2024 (45.3)
#599 Nemotron 3 Super (45.3)