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Mistral Large vs Grok 4.20

Mistral Large

Mistral AI

66#185
vs
Grok 4.20

xAI

89#46
Signal-by-Signal Comparison
SignalMistral LargeDeltaGrok 4.20
Capabilities
50
-50
100
Benchmarks
68
-18
86
Pricing
94
-3
98
Context window size
81
-19
100
Recency
0
-100
100
Output Capacity
20
--
20
Overall Result
0 wins
of 6
5 wins
Grok 4.20 wins 5 of 6 signals

Score History

Score History (25 data points)
Mistral LargeGrok 4.20
Mistral Large

65.9

current score

Leader

Grok 4.20

right now

Grok 4.20

88.8

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Mistral Large

Mistral AI

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

Grok 4.20

xAI

Best Value
Per request$0.002500
Daily$8.33
Monthly$250.00
Annual$3000.00

Grok 4.20 saves you $250.00/month

That's $3000.00/year compared to Mistral Large at your current usage level of 100K calls/month.

50% cheaper
Choose Grok 4.20 for cost optimization

Mistral Large pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Grok 4.20 pricing:
Input:$1.25/M tokens
Output:$2.50/M tokens
Mistral Large

Mistral AI

66

Composite Score

Winner
Grok 4.20

xAI

89

Composite Score

Signal-by-Signal Comparison
MetricMistral LargeGrok 4.20Winner
Overall Score
66
89
Grok 4.20
Rank#185#46
Grok 4.20
Quality Rank#185#46
Grok 4.20
Adoption Rank#185#46
Grok 4.20
Parameters------
Context Window128K2000K
Grok 4.20
Pricing$2.00/$6.00/M$1.25/$2.50/M--
Signal Scores
Capabilities
50
100
Grok 4.20
Benchmarks
68
86
Grok 4.20
Pricing
94
98
Grok 4.20
Context window size
81
100
Grok 4.20
Recency
0
100
Grok 4.20
Output Capacity
20
20
Mistral Large
Benchmark Head-to-Head(12 benchmarks)
Mistral Large: 0Grok 4.20: 9
Mistral Large
Grok 4.20
Normalized 0-100%
MMLU
84.7%91.5%
MMLU-Pro
69.4%83.5%
GPQA Diamond
52.5%82%
MATH-500
76%95%
HumanEval
92%95.5%
SWE-bench Verified
-70%
AIME 2024
-88%
IFEval
86.5%91%
BBH
80%90%
Arena Elo
12801462
LiveBench
57.1%73%
BigCodeBench
30%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Mistral LargeCompetitive

Scores 66/100 (rank #185), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok 4.20Elite Tier

Scores 89/100 (rank #46), placing it in the top 84% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Grok 4.20 has a 23-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Mistral Large when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Grok 4.20 when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (2000K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Mistral Large
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.121
Est. monthly (1M tokens/day)$120.00
Grok 4.20Best Value
Input cost$1.25/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.042
Est. monthly (1M tokens/day)$56.25

Grok 4.20 offers 53% better value per quality point. At 1M tokens/day, you'd spend $56.25/month with Grok 4.20 vs $120.00/month with Mistral Large - a $63.75 monthly difference.

Latency & Speed
Mistral LargeFaster
Speed score0/100
Grok 4.20
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Mistral Large

Customer support chatbot

Suitable for user-facing chat with competitive response times. Grok 4.20 also offers lower per-token costs for high-volume support

Mistral Large

Long document analysis

Larger context window (2000K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.20

Batch data extraction

Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily

Grok 4.20

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.20

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Grok 4.20
Which Should You Choose?
Our recommendation:
Grok 4.20

Grok 4.20 clearly outperforms Mistral Large with a significant 22.89999999999999-point lead. For most general use cases, Grok 4.20 is the stronger choice. However, Mistral Large may still excel in niche scenarios.

by Mistral AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
Grok 4.20
Recommended

by xAI

  • Choose for Cost - 53% lower pricing; better value at scale
Capability Comparison
CapabilityMistral LargeGrok 4.20
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Large

Mistral AI

$10.80
estimated monthly cost

Grok 4.20

xAI

Best Value
$5.25
estimated monthly cost

Grok 4.20 saves you $5.55/month

That's 51% cheaper than Mistral Large at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterMistral LargeGrok 4.20
Context Window128K2M
Max Output Tokens----
Open SourceNoNo
CreatedFeb 26, 2024Mar 31, 2026
Last updated: 23m ago

相关对比

Mistral Large vs Grok 4.20 (2026) | LM Market Cap