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Every score has a dated snapshot.

  1. Home
  2. Comparisons
  3. Cohere: Command R7B (12-2024) vs Gemini 3 Pro

Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Cohere: Command R7B (12-2024) vs Gemini 3 Pro benchmark

This page compares Cohere: Command R7B (12-2024) (Cohere) and Gemini 3 Pro (Google) using the latest snapshots we have as of Aug 16, 2026. Cohere: Command R7B (12-2024) wins on output price at $0.15/1M. Gemini 3 Pro has the larger context window (2M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Quick answer

Cohere: Command R7B (12-2024) vs Gemini 3 Pro is a dated snapshot, not a lab score. Cohere: Command R7B (12-2024) is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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Cohere

Cohere: Command R7B (12-2024)

Auto-discovered from OpenRouter (cohere/command-r7b-12-2024). Preview until a second source matches.

$0.15/1M out

Google

Gemini 3 Pro

Google frontier multimodal model with a multi-million-token context window.

Elo 1,552$5/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A
Model B
Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Cohere: Command R7B (12-2024) (2)vsGemini 3 Pro (8)
Cohere: Command R7B (12-2024): 2W (20%)Overall: Gemini 3 ProGemini 3 Pro: 8W (80%)
← Cohere: Command R7B (12-2024)Gemini 3 Pro →
Gemini 3 Pro (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo
—vs1,552
Coding Elo
—vs1,548
SWE-bench
—vs72.4%
LiveBench
—vs70.6%
GPQA Diamond
—vs83.6%
Cohere: Command R7B (12-2024): 0WGemini 3 Pro: 5W
Gemini 3 Pro (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs92 tok/s
Time to first token
—vs220 ms
Cohere: Command R7B (12-2024): 0WGemini 3 Pro: 2W
Cohere: Command R7B (12-2024) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.15/1Mvs$5/1M
Input price
$0.04/1Mvs$1.25/1M
Context window
128kvs2M
Cohere: Command R7B (12-2024): 2WGemini 3 Pro: 1W
Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageGemini 3 Pro 5/6
Preference Elo

No shared data

No shared data

Throughput Speed

No shared data

No shared data

Price Efficiency

Cohere: Command R7B (12-2024)

$4.85/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
—
EloHigh is better
1,552
Code Elo
High is better
—
Code EloHigh is better
1,548
LiveBench
High is better
—
LiveBenchHigh is better
70.6%
SWE-bench
High is better
—
SWE-benchHigh is better
72.4%
GPQA
High is better
—
GPQAHigh is better
83.6%
TTFT
Low is better
—
TTFTLow is better
220 ms
Speed
High is better
—
SpeedHigh is better
92 tok/s
In $
Low is better
+3233%$0.04/1M
In $Low is better
$1.25/1M
Out $
Low is better
+3233%$0.15/1M
Out $Low is better
$5/1M
Context
High is better
128k
ContextHigh is better
2M+1463%
Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 97% with Cohere: Command R7B (12-2024)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Cohere: Command R7B (12-2024)$3.56 / mo
In: $1.31Out: $2.25
Gemini 3 Pro$118.75 / mo
In: $43.75Out: $75.00
Estimated Cost Delta

Cohere: Command R7B (12-2024) is estimated to save $115.19/month ($1,382/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Cohere: Command R7B (12-2024):Pick Cohere: Command R7B (12-2024) when you are optimizing output cost.
  • 2
    Gemini 3 Pro:Pick Gemini 3 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatCohere: Command R7B (12-2024)

Lower output list price ($0.15/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGemini 3 Pro

Larger window (2M).

Screenshots / visionGemini 3 Pro

Gemini 3 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatCohere: Command R7B (12-2024)Lower output list price ($0.15/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGemini 3 ProLarger window (2M).
Screenshots / visionGemini 3 ProGemini 3 Pro is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchMar 15, 2026

Gemini 3 Pro’s multi-million context is still a 2026 RAG shortlist

March 2026 Google frontier multimodal with a 2M window. 3.6 Pro is newer; 3 Pro stays as the original 3.x Pro row.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Cohere

Cohere: Command R7B (12-2024)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.15/1M
Google

Gemini 3 Pro

Elo 1,552
LiveBench70.6%
SWE-bench72.4%
Speed92 tok/s
Output cost$5/1M

Frequently Asked Questions

Which is better overall, Cohere: Command R7B (12-2024) or Gemini 3 Pro?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Cohere: Command R7B (12-2024) or Gemini 3 Pro?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Cohere: Command R7B (12-2024) output tokens are $0.15/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Cohere: Command R7B (12-2024) or Gemini 3 Pro?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 3 Pro accepts 2M tokens versus 128k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Cohere: Command R7B (12-2024) and Gemini 3 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Mar 15, 2026

    Gemini 3 Pro’s multi-million context is still a 2026 RAG shortlist

Similar Head-to-Head Comparisons

All Cohere: Command R7B (12-2024) matchups →|All Gemini 3 Pro matchups →
Gemini 3 Pro vs Gemini 2.5 Pro (previous gemini-pro)Gemini 3 Pro vs Gemini 3.6 Pro (next gemini-pro)Gemini 3 Flash vs Gemini 3 ProGemini 2.0 Flash Thinking vs Gemini 3 ProGemini 3.6 Flash vs Gemini 3 ProGemini 3.7 Flash vs Gemini 3 Pro