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Command R7B (12-2024) vs Gemini 3.8 Flash (batch)

Signal-by-Signal Comparison
SignalCommand R7B (12-2024)DeltaGemini 3.8 Flash (batch)
Capabilities
33
-67
100
Benchmarks
38
+38
0
Pricing
100
+2
98
Context window size
81
-14
96
Recency
15
-85
100
Output Capacity
58
-19
77
Overall Result
2 wins
of 6
4 wins
Gemini 3.8 Flash (batch) wins 4 of 6 signals

Score History

Score History (32 data points)
Command R7B (12-2024)Gemini 3.8 Flash (batch)
Command R7B (12-2024)

35.8

current score

Leader

Gemini 3.8 Flash (batch)

right now

Gemini 3.8 Flash (batch)

81

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

Gemini 3.8 Flash (batch)

Google

Per request$0.001312
Daily$4.38
Monthly$131.25
Annual$1575.00

Command R7B (12-2024) saves you $120.00/month

That's $1440.00/year compared to Gemini 3.8 Flash (batch) at your current usage level of 100K calls/month.

91% cheaper
Choose Command R7B (12-2024) for cost optimization

Command R7B (12-2024) pricing:
Input:$0.04/M tokens
Output:$0.15/M tokens
Gemini 3.8 Flash (batch) pricing:
Input:$0.38/M tokens
Output:$1.88/M tokens
Command R7B (12-2024)

Cohere

36

Composite Score

Winner
Gemini 3.8 Flash (batch)

Google

81

Composite Score

Signal-by-Signal Comparison
MetricCommand R7B (12-2024)Gemini 3.8 Flash (batch)Winner
Overall Score
36
81
Gemini 3.8 Flash (batch)
Rank#419#81
Gemini 3.8 Flash (batch)
Quality Rank#419#81
Gemini 3.8 Flash (batch)
Adoption Rank#419#81
Gemini 3.8 Flash (batch)
Parameters7B----
Context Window128K1049K
Gemini 3.8 Flash (batch)
Pricing$0.04/$0.15/M$0.38/$1.88/M--
Signal Scores
Capabilities
33
100
Gemini 3.8 Flash (batch)
Benchmarks
38
--
Command R7B (12-2024)
Pricing
100
98
Command R7B (12-2024)
Context window size
81
96
Gemini 3.8 Flash (batch)
Recency
15
100
Gemini 3.8 Flash (batch)
Output Capacity
58
77
Gemini 3.8 Flash (batch)
Benchmark Head-to-Head(4 benchmarks)
Command R7B: 0Gemini 3.8: 0
Command R7B
Gemini 3.8
Normalized 0-100%
MMLU-Pro
28.58%-
IFEval
77.13%-
BBH
36.02%-
HLE
-44.52%
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 #419), placing it in the top -44% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemini 3.8 Flash (batch)Strong Performer

Scores 81/100 (rank #81), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.8 Flash (batch) has a 45-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 Gemini 3.8 Flash (batch) when you need:

  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
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
Gemini 3.8 Flash (batch)
Input cost$0.38/M tokens
Output cost$1.88/M tokens
Cost per quality point$0.028
Est. monthly (1M tokens/day)$33.75

Command R7B (12-2024) offers 92% better value per quality point. At 1M tokens/day, you'd spend $2.81/month with Command R7B (12-2024) vs $33.75/month with Gemini 3.8 Flash (batch) - a $30.94 monthly difference.

Latency & Speed
Command R7B (12-2024)Faster
Speed score0/100
Gemini 3.8 Flash (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 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 (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 3.8 Flash (batch)

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 (81/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.8 Flash (batch)

Image understanding & OCR

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

Gemini 3.8 Flash (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.8 Flash (batch)

Gemini 3.8 Flash (batch) clearly outperforms Command R7B (12-2024) with a significant 45.2-point lead. For most general use cases, Gemini 3.8 Flash (batch) 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 - 92% 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 Google

Consider for specialized use cases.

Capability Comparison
CapabilityCommand R7B (12-2024)Gemini 3.8 Flash (batch)
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
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

Gemini 3.8 Flash (batch)

Google

$2.92
estimated monthly cost

Command R7B (12-2024) saves you $2.68/month

That's 92% cheaper than Gemini 3.8 Flash (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 R7B (12-2024)Gemini 3.8 Flash (batch)
Context Window128K1.0M
Max Output Tokens4,00065,536
Open SourceNoNo
CreatedDec 14, 2024Sep 2, 2026
Last updated: 21m ago

相关对比

Command R7B (12-2024) vs Gemini 3.8 Flash (batch) (2026) | LM Market Cap