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Command R (08-2024) vs Mistral Large 3 2512 (batch)

Signal-by-Signal Comparison
SignalCommand R (08-2024)DeltaMistral Large 3 2512 (batch)
Capabilities
50
-17
67
Benchmarks
47
-21
68
Pricing
99
+0
99
Context window size
81
-5
86
Recency
0
-79
79
Output Capacity
58
-27
85
Overall Result
1 wins
of 6
5 wins
Mistral Large 3 2512 (batch) wins 5 of 6 signals

Score History

Score History (32 data points)
Command R (08-2024)Mistral Large 3 2512 (batch)
Command R (08-2024)

48.7

current score

Leader

Mistral Large 3 2512 (batch)

right now

Mistral Large 3 2512 (batch)

67

current score

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

Command R (08-2024)

Cohere

Best Value
Per request$0.000450
Daily$1.50
Monthly$45.00
Annual$540.00

Mistral Large 3 2512 (batch)

Mistral AI

Per request$0.000625
Daily$2.08
Monthly$62.50
Annual$750.00

Command R (08-2024) saves you $17.50/month

That's $210.00/year compared to Mistral Large 3 2512 (batch) at your current usage level of 100K calls/month.

28% cheaper
Choose Command R (08-2024) for cost optimization

Command R (08-2024) pricing:
Input:$0.15/M tokens
Output:$0.60/M tokens
Mistral Large 3 2512 (batch) pricing:
Input:$0.25/M tokens
Output:$0.75/M tokens
Command R (08-2024)

Cohere

49

Composite Score

Winner
Mistral Large 3 2512 (batch)

Mistral AI

67

Composite Score

Signal-by-Signal Comparison
MetricCommand R (08-2024)Mistral Large 3 2512 (batch)Winner
Overall Score
49
67
Mistral Large 3 2512 (batch)
Rank#228#183
Mistral Large 3 2512 (batch)
Quality Rank#228#183
Mistral Large 3 2512 (batch)
Adoption Rank#228#183
Mistral Large 3 2512 (batch)
Parameters------
Context Window128K262K
Mistral Large 3 2512 (batch)
Pricing$0.15/$0.60/M$0.25/$0.75/M--
Signal Scores
Capabilities
50
67
Mistral Large 3 2512 (batch)
Benchmarks
47
68
Mistral Large 3 2512 (batch)
Pricing
99
99
Command R (08-2024)
Context window size
81
86
Mistral Large 3 2512 (batch)
Recency
0
79
Mistral Large 3 2512 (batch)
Output Capacity
58
85
Mistral Large 3 2512 (batch)
Benchmark Head-to-Head(10 benchmarks)
Command R: 1Mistral Large: 2
Command R
Mistral Large
Normalized 0-100%
MMLU
-84.7%
MMLU-Pro
-69.4%
GPQA Diamond
-52.5%
MATH-500
-76%
HumanEval
-92%
IFEval
-86.5%
BBH
-80%
Arena Elo
12501280
LiveBench
46.7%57.1%
BigCodeBench
37.1%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.

Command R (08-2024)Entry Level

Scores 49/100 (rank #228), placing it in the top 22% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mistral Large 3 2512 (batch)Competitive

Scores 67/100 (rank #183), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Mistral Large 3 2512 (batch) has a 18-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Command R (08-2024) when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Mistral Large 3 2512 (batch) when you need:

  • Processing long documents or large codebases (262K token context)
  • Multimodal workflows that require image understanding
Cost-Performance Analysis
Command R (08-2024)
Input cost$0.15/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$11.25
Mistral Large 3 2512 (batch)Best Value
Input cost$0.25/M tokens
Output cost$0.75/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$15.00

Mistral Large 3 2512 (batch) offers 25% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $15.00/month with Mistral Large 3 2512 (batch) - a $3.75 monthly difference.

Latency & Speed
Command R (08-2024)Faster
Speed score0/100
Mistral Large 3 2512 (batch)
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

Command R (08-2024)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Command R (08-2024) also offers lower per-token costs for high-volume support

Command R (08-2024)

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Mistral Large 3 2512 (batch)

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

Command R (08-2024)

Creative writing & content

Higher overall composite score (67/100) correlates with better nuance, coherence, and style in long-form content

Mistral Large 3 2512 (batch)

Image understanding & OCR

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

Mistral Large 3 2512 (batch)
Which Should You Choose?
Our recommendation:
Mistral Large 3 2512 (batch)

Mistral Large 3 2512 (batch) clearly outperforms Command R (08-2024) with a significant 18.299999999999997-point lead. For most general use cases, Mistral Large 3 2512 (batch) is the stronger choice. However, Command R (08-2024) may still excel in niche scenarios.

by Cohere

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 25% lower pricing; better value at scale
  • 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

by Mistral AI

Consider for specialized use cases.

Capability Comparison
CapabilityCommand R (08-2024)Mistral Large 3 2512 (batch)
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Command R (08-2024)

Cohere

Best Value
$0.9900
estimated monthly cost

Mistral Large 3 2512 (batch)

Mistral AI

$1.35
estimated monthly cost

Command R (08-2024) saves you $0.3600/month

That's 27% cheaper than Mistral Large 3 2512 (batch) 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
ParameterCommand R (08-2024)Mistral Large 3 2512 (batch)
Context Window128K262K
Max Output Tokens4,000209,715
Open SourceNoNo
CreatedAug 30, 2024Dec 1, 2025
Last updated: 23m ago

相关对比

Command R (08-2024) vs Mistral Large 3 2512 (batch) (2026) | LM Market Cap