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Mistral Large vs R1

Mistral Large

Mistral AI

66#185
vs
R1

DeepSeek

74#134
Signal-by-Signal Comparison
SignalMistral LargeDeltaR1
Capabilities
50
-17
67
Benchmarks
68
-5
73
Pricing
94
-3
98
Context window size
81
-2
83
Recency
0
-30
30
Output Capacity
20
-50
70
Overall Result
0 wins
of 6
6 wins
R1 wins 6 of 6 signals

Score History

Score History (25 data points)
Mistral LargeR1
Mistral Large

65.9

current score

Leader

R1

right now

R1

74.2

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

R1

DeepSeek

Best Value
Per request$0.001950
Daily$6.50
Monthly$195.00
Annual$2340.00

R1 saves you $305.00/month

That's $3660.00/year compared to Mistral Large at your current usage level of 100K calls/month.

61% cheaper
Choose R1 for cost optimization

Mistral Large pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
R1 pricing:
Input:$0.70/M tokens
Output:$2.50/M tokens
Mistral Large

Mistral AI

66

Composite Score

Winner
R1

DeepSeek

74

Composite Score

Signal-by-Signal Comparison
MetricMistral LargeR1Winner
Overall Score
66
74
R1
Rank#185#134
R1
Quality Rank#185#134
R1
Adoption Rank#185#134
R1
Parameters------
Context Window128K164K
R1
Pricing$2.00/$6.00/M$0.70/$2.50/M--
Signal Scores
Capabilities
50
67
R1
Benchmarks
68
73
R1
Pricing
94
98
R1
Context window size
81
83
R1
Recency
0
30
R1
Output Capacity
20
70
R1
Benchmark Head-to-Head(12 benchmarks)
Mistral Large: 2R1: 7
Mistral Large
R1
Normalized 0-100%
MMLU
84.7%90.8%
MMLU-Pro
69.4%84%
GPQA Diamond
52.5%71.5%
MATH-500
76%97.3%
HumanEval
92%-
SWE-bench Verified
-49.2%
AIME 2024
-79.8%
IFEval
86.5%83.3%
BBH
80%85%
Arena Elo
12801369
LiveBench
57.1%67.3%
BigCodeBench
30%29.7%
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
R1Strong Performer

Scores 74/100 (rank #134), placing it in the top 54% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

R1 has a 8-point advantage, which typically translates to noticeably better 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 R1 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
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
R1Best Value
Input cost$0.70/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.043
Est. monthly (1M tokens/day)$48.00

R1 offers 60% better value per quality point. At 1M tokens/day, you'd spend $48.00/month with R1 vs $120.00/month with Mistral Large - a $72.00 monthly difference.

Latency & Speed
Mistral LargeFaster
Speed score0/100
R1
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. R1 also offers lower per-token costs for high-volume support

Mistral Large

Long document analysis

Larger context window (164K tokens) can process longer documents, contracts, and research papers in a single pass

R1

Batch data extraction

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

R1

Creative writing & content

Higher overall composite score (74/100) correlates with better nuance, coherence, and style in long-form content

R1
Which Should You Choose?
Our recommendation:
R1

R1 has a moderate advantage with a 8.299999999999997-point lead in composite score. It wins on more signal dimensions, but Mistral Large has specific strengths that could make it the better choice for certain workflows.

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
R1
Recommended

by DeepSeek

  • Choose for Cost - 60% lower pricing; better value at scale
Capability Comparison
CapabilityMistral LargeR1
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
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

R1

DeepSeek

Best Value
$4.26
estimated monthly cost

R1 saves you $6.54/month

That's 61% 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 LargeR1
Context Window128K164K
Max Output Tokens--16,000
Open SourceNoYes
CreatedFeb 26, 2024Jan 20, 2025
Last updated: 35m ago

相关对比

Mistral Large vs R1 (2026) | LM Market Cap