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Command R7B (12-2024) vs Mistral Large

vs
Mistral Large

Mistral AI

66#185
Signal-by-Signal Comparison
SignalCommand R7B (12-2024)DeltaMistral Large
Capabilities
33
-17
50
Benchmarks
38
-30
68
Pricing
100
+6
94
Context window size
81
--
81
Recency
23
+23
0
Output Capacity
60
+40
20
Overall Result
3 wins
of 6
2 wins
Command R7B (12-2024) wins 3 of 6 signals

Score History

Score History (25 data points)
Command R7B (12-2024)Mistral Large
Command R7B (12-2024)

35.8

current score

Leader

Mistral Large

right now

Mistral Large

65.9

current score

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

Command R7B (12-2024)

Cohere

Best Value
Per request$0.000112
Daily$0.38
Monthly$11.25
Annual$135.00

Mistral Large

Mistral AI

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

Command R7B (12-2024) saves you $488.75/month

That's $5865.00/year compared to Mistral Large at your current usage level of 100K calls/month.

98% cheaper
Choose Command R7B (12-2024) for cost optimization

Command R7B (12-2024) pricing:
Input:$0.04/M tokens
Output:$0.15/M tokens
Mistral Large pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Command R7B (12-2024)

Cohere

36

Composite Score

Winner
Mistral Large

Mistral AI

66

Composite Score

Signal-by-Signal Comparison
MetricCommand R7B (12-2024)Mistral LargeWinner
Overall Score
36
66
Mistral Large
Rank#368#185
Mistral Large
Quality Rank#368#185
Mistral Large
Adoption Rank#368#185
Mistral Large
Parameters7B----
Context Window128K128K--
Pricing$0.04/$0.15/M$2.00/$6.00/M--
Signal Scores
Capabilities
33
50
Mistral Large
Benchmarks
38
68
Mistral Large
Pricing
100
94
Command R7B (12-2024)
Context window size
81
81
Command R7B (12-2024)
Recency
23
0
Command R7B (12-2024)
Output Capacity
60
20
Command R7B (12-2024)
Benchmark Head-to-Head(10 benchmarks)
Command R7B: 0Mistral Large: 3
Command R7B
Mistral Large
Normalized 0-100%
MMLU
-84.7%
MMLU-Pro
28.58%69.4%
GPQA Diamond
-52.5%
MATH-500
-76%
HumanEval
-92%
IFEval
77.13%86.5%
BBH
36.02%80%
Arena Elo
-1280
LiveBench
-57.1%
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.

Command R7B (12-2024)Entry Level

Scores 36/100 (rank #368), placing it in the top -27% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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

Mistral Large has a 30-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 R7B (12-2024) when you need:

  • High-volume production workloads where API costs must be minimized

Choose Mistral Large when you need:

  • Agentic applications using tool/function calling
Cost-Performance Analysis
Command R7B (12-2024)Best Value
Input cost$0.04/M tokens
Output cost$0.15/M tokens
Cost per quality point$0.005
Est. monthly (1M tokens/day)$2.81
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

Command R7B (12-2024) offers 98% better value per quality point. At 1M tokens/day, you'd spend $2.81/month with Command R7B (12-2024) vs $120.00/month with Mistral Large - a $117.19 monthly difference.

Latency & Speed
Command R7B (12-2024)Faster
Speed score0/100
Mistral Large
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 R7B (12-2024)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Command R7B (12-2024) also offers lower per-token costs for high-volume support

Command R7B (12-2024)

Long document analysis

Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass

Command R7B (12-2024)

Batch data extraction

Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily

Command R7B (12-2024)

Creative writing & content

Higher overall composite score (66/100) correlates with better nuance, coherence, and style in long-form content

Mistral Large
Which Should You Choose?
Our recommendation:
Mistral Large

Mistral Large clearly outperforms Command R7B (12-2024) with a significant 30.10000000000001-point lead. For most general use cases, Mistral Large is the stronger choice. However, Command R7B (12-2024) may still excel in niche scenarios.

by Cohere

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 98% 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
Mistral Large
Recommended

by Mistral AI

Consider for specialized use cases.

Capability Comparison
CapabilityCommand R7B (12-2024)Mistral Large
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Command R7B (12-2024)

Cohere

Best Value
$0.2475
estimated monthly cost

Mistral Large

Mistral AI

$10.80
estimated monthly cost

Command R7B (12-2024) saves you $10.55/month

That's 98% 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
ParameterCommand R7B (12-2024)Mistral Large
Context Window128K128K
Max Output Tokens4,000--
Open SourceNoNo
CreatedDec 14, 2024Feb 26, 2024
Last updated: 25m ago

相关对比

Command R7B (12-2024) vs Mistral Large (2026) | LM Market Cap