Llama 3.1 70B vs Mistral Small 3.1

Change models
IndexAll categories, out of 100.
24.8 ±5.3 best
24.2 ±4.1
GapIndex points below the top.
Top
−0.6 · no clear gap
CoverageIndex weight that has results.
90%
95% best
SpeedOutput tokens per second.
—
28/s
EloLMArena rating and rank.
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—
ReleasedMonth of release.
2024-07
2025-03
Input / 1MUS dollars per 1M input tokens.
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—
Output / 1MUS dollars per 1M output tokens.
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—
1K chats2K tokens in, 500 out, each.
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—
1K documents20K tokens in, 1K out, each.
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—
1K agent tasks200K tokens in, 20K out, each.
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—
ContextMaximum tokens in one request.
128K
128K
AgenticMulti-step tasks with tools.
17.1
26.7 best
CodingCode writing and repair.
21.4
25.6 best
ReasoningLogic problems and puzzles.
23.7
29.7 best
MultimodalTasks with images and text.
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28.8
KnowledgeFacts and expert knowledge.
27.6 best
25.7
MultilingualTasks in many languages.
41.0
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InstructionTasks with strict prompt rules.
27.8 best
17.0
MathMath problems.
13.9
16.7 best

Benchmarks

13 shared
Only Llama 3.1 70B: 7Only Mistral Small 3.1: 18
Llama 3.1 70B
Mistral Small 3.1
3.6%210 / 222
4.3% best190 / 222
4.7%203 / 217
22.3% best191 / 217
44.2%166 / 217
44.7% best164 / 217
0.0%150 / 214
0.0%150 / 214
3.6%176 / 200
4.9% best170 / 200
49.1% best176 / 199
45.4%182 / 199
21.6%127 / 149
25.1% best120 / 149
29.0%136 / 146
29.9% best135 / 146
46.7% best126 / 141
46.0%127 / 141
36.7%62 / 88
46.8% best51 / 88
66.4%62 / 75
66.8% best61 / 75
86.0% best16 / 34
80.6%24 / 34
80.5%15 / 22
88.4% best8 / 22