Model comparison

Grok 4.20 Multi-Agent vs Ministral 3B

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 25.6 on the Noometry Index. Ministral 3B costs 39× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Grok 4.20 Multi-Agent xAI

45.5

Rank #62 Confirmed

Ministral 3B Mistral AI

25.6

Rank #336 Confirmed

Summary

  • The widest gap is in knowledge, where Grok 4.20 Multi-Agent leads 39.7 to 10.4.
  • Ministral 3B is cheaper at $0.04 / $0.04 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
  • Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 128K.
  • Ministral 3B has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-Agent and Ministral 3B specifications
Grok 4.20 Multi-AgentMinistral 3B
ProviderxAIMistral AI
Noometry Index45.525.6
Released2026-03-092024-10-01
WeightsProprietaryOpen
Context window1M128K
Max output30K128K
Input $ / M tokens$1.25$0.04
Output $ / M tokens$2.50$0.04
Results tracked206

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Category by category

Coding Not comparable

Grok 4.20 Multi-Agent: 42.4 (#91), Ministral 3B: —

Coding benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
LMArena Coding1458—

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Ministral 3B: —

Agentic & Tool Use benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
LMArena Search1204—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 42.4 (#44), Ministral 3B: 17.7 (#278)

Reasoning benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
NYT Connections (extended)89.6%—
LMArena Hard Prompts1448—
DTBench—51.7%
LMCA—5.5%
Epoch Capabilities Index—118.08

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 36.6 (#106), Ministral 3B: 24.5 (#257)

Math benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
LMArena Math1441—
MATH Level 5—14.4%

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.7 (#116), Ministral 3B: 10.4 (#297)

Knowledge benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
GPQA Diamond—25.3%
Vectara Hallucination Rate—7.3%
LMArena Expert1445—

Multimodal Not comparable

Grok 4.20 Multi-Agent: 39.8 (#44), Ministral 3B: —

Multimodal benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
LMArena Vision1259—

Multilingual Not comparable

Grok 4.20 Multi-Agent: 54.6 (#40), Ministral 3B: —

Multilingual benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
LMArena Non-English1440—
LMArena Chinese1475—
LMArena French1467—
LMArena German1456—
LMArena Japanese1405—
LMArena Korean1416—
LMArena Russian1457—
LMArena Spanish1447—

Instruction Following Not comparable

Grok 4.20 Multi-Agent: 75.0 (#80), Ministral 3B: —

Instruction Following benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
LMArena Instruction Following1420—

Long Context Not comparable

Grok 4.20 Multi-Agent: 43.7 (#84), Ministral 3B: —

Long Context benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
LMArena Longer Query1430—

Writing & Preference Not comparable

Grok 4.20 Multi-Agent: 64.1 (#57), Ministral 3B: —

Writing & Preference benchmarks
BenchmarkGrok 4.20 Multi-AgentMinistral 3B
LMArena Text1450—
LMArena Creative Writing1435—
LMArena Multi-Turn1451—

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Ministral 3B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 25.6 on the Noometry Index. Ministral 3B costs 39× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

Which is cheaper, Grok 4.20 Multi-Agent or Ministral 3B?

Ministral 3B is cheaper. It lists at $0.04 per million input tokens and $0.04 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 128K.

How many benchmarks do Grok 4.20 Multi-Agent and Ministral 3B share?

0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Ministral 3B has 6.

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