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A model-level benchmark profile for Llama 2 7b Chat, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.
Lab
Meta
Proprietary
Coverage
44%
4 of 9 tracked signals
Best Arena rank
#350
Text Arena
Best suite
#17
Agents / 99
Model profile
This view treats missing values as coverage gaps, then puts every available score, rank, cost, and speed signal into the same visual hierarchy.
Analyst view
Its best composite result is rank #17 in the agents view, with a 99 agent proxy. The strongest raw Arena signal is Text Arena at rank #350 with 14,148 public votes.
Best current lane
Agents
#17 / 99 agent proxy
Strongest raw signal
Text
#350, 1107 score
Commercial posture
$0.100
1.09s first token / 123 tok/s
Coverage gaps
Profile completeness
Arena categories
1/5
Text
Commercial match
Live
Llama 2 Chat 7B
SWE-bench
Not listed
No confident software benchmark row
Raw identifier
llama-2-7b-chat
Performance cockpit
Arena rows show score, public rank, confidence interval, vote count, and publish date. Missing rows stay visible as coverage gaps.
Text Arena
Arena category
1100-1114 CI
WebDev Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
Vision Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
Search Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
Document Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
SWE-bench Verified
Software issue resolution
Not listed
No confident SWE-bench row matched to this model.
Coverage gap
Cost and speed
Price, latency, and throughput are only shown when a confident commercial source row is matched.
Blended price
$0.100
USD / 1M tokens
Input price
$0.050
USD / 1M input tokens
Output price
$0.250
USD / 1M output tokens
Latency
1.09s
Median time to first token
Output speed
123 tok/s
Median generation speed
Matched source row
Llama 2 Chat 7BSuite position
These views combine available public signals into purpose-specific indexes. A missing card means the model lacks enough source coverage for that lens.
Value
Quality, price, latency, and output speed
value index
Coding
Code Arena, SWE-bench, and output speed
coding index
Agents
Search, documents, code, and latency
agent proxy
Reasoning
Text, documents, vision, and mode signal
reasoning proxy
Long context
Document, search, and text benchmark proxy
context proxy
Lab context
Same-lab models make it easier to see whether this profile is a flagship, value play, specialist, or lower-coverage row.
Muse Spark
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Coverage
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Llama 4 Maverick 17b 128e Instruct
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#85
Coverage
22%
Llama 4 Scout 17b 16e Instruct
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Coverage
22%
Llama 3.1 405b Instruct Bf16
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#195
Coverage
11%
Llama 3.1 405b Instruct Fp8
llama-3.1-405b-instruct-fp8
Best rank
#197
Coverage
11%
Llama 3.3 70b Instruct
llama-3.3-70b-instruct
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#215
Coverage
11%
Llama 3.1 70b Instruct
llama-3.1-70b-instruct
Best rank
#241
Coverage
11%
Llama 3 70b Instruct
llama-3-70b-instruct
Best rank
#255
Coverage
11%