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Precision Benchmarks

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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Cohere: Command R7B (12-2024) vs Doubao Pro 1.5

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Cohere: Command R7B (12-2024) vs Doubao Pro 1.5 benchmark

In this head-to-head showdown, Cohere: Command R7B (12-2024) is more budget-friendly at $0.15/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Cohere: Command R7B (12-2024) and Doubao Pro 1.5 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Cohere: Command R7B (12-2024) holds empirical advantage (2 of 2 metrics)

Coding / SWESWE-bench
Doubao Pro 1.5Top code solve rate
ReasoningGPQA / Live
Doubao Pro 1.5Top logical accuracy
Best Value$/1M Tok
Cohere: Command R7B (12-2024)Lowest API billing cost
Speed / TokTok/Sec
Doubao Pro 1.5Fastest stream rate

Verified Advantage Breakdown

2 benchmarks evaluated across capability, speed, and cost

Cohere: Command R7B (12-2024) (2)Doubao Pro 1.5 (0)
Cohere: Command R7B (12-2024)
2 of 2 Wins
✓Input price✓Output price
Doubao Pro 1.5
0 of 2 Wins
Competitive baseline across remaining benchmarks
Cohere
Leads 2 of 2
Cohere: Command R7B (12-2024)

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

In: $0.038 · Out: $0.15/1M
ByteDance
Doubao Pro 1.5

ByteDance flagship enterprise model with ultra-low token cost and 128k context.

Elo 1,470In: $0.11 · Out: $0.28/1M
Top Rival Showdowns for Cohere: Command R7B (12-2024)
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderCohere: Command R7B (12-2024) Wins

Cohere: Command R7B (12-2024)

$0.15 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Cohere: Command R7B (12-2024) (2)vsDoubao Pro 1.5 (7)
Cohere: Command R7B (12-2024): 2W (22%)Overall: Doubao Pro 1.5Doubao Pro 1.5: 7W (78%)
← Cohere: Command R7B (12-2024)1 tiesDoubao Pro 1.5 →
🏆Doubao Pro 1.5 Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Cohere: Command R7B (12-2024)vsDoubao Pro 1.5
Preference Elo
—vs1,470
Coding Elo
—vs1,465
SWE-bench
—vs62.1%
LiveBench
—vs64%
GPQA Diamond
—vs77.5%
Cohere: Command R7B (12-2024): 0WDoubao Pro 1.5: 5W
🏆Doubao Pro 1.5 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Cohere: Command R7B (12-2024)vsDoubao Pro 1.5
Output speed
—vs105 tok/s
Time to first token
—vs190 ms
Cohere: Command R7B (12-2024): 0WDoubao Pro 1.5: 2W
🏆Cohere: Command R7B (12-2024) Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Cohere: Command R7B (12-2024)vsDoubao Pro 1.5
Output price
$0.15/1Mvs$0.28/1M+$0.13/1M
Input price
$0.038/1Mvs$0.11/1M+$0.073/1M
Context window
128kvs128k
Cohere: Command R7B (12-2024): 2WDoubao Pro 1.5: 0W

Side-by-Side Benchmark Matrix

Cohere: Command R7B (12-2024)Doubao Pro 1.5
Preference Elo
Cohere: Command R7B (12-2024)—
Doubao Pro 1.51,470
Coding Elo
Cohere: Command R7B (12-2024)—
Doubao Pro 1.51,465
LiveBench
Cohere: Command R7B (12-2024)—
Doubao Pro 1.564%
SWE-bench
Cohere: Command R7B (12-2024)—
Doubao Pro 1.562.1%
GPQA Diamond
Cohere: Command R7B (12-2024)—
Doubao Pro 1.577.5%
Time to first token
Cohere: Command R7B (12-2024)—
Doubao Pro 1.5190 ms
Output speed
Cohere: Command R7B (12-2024)—
Doubao Pro 1.5105 tok/s
Input priceCohere: Command R7B (12-2024) +$0.073/1M
Cohere: Command R7B (12-2024)$0.038/1M
Doubao Pro 1.5$0.11/1M
Output priceCohere: Command R7B (12-2024) +$0.13/1M
Cohere: Command R7B (12-2024)$0.15/1M
Doubao Pro 1.5$0.28/1M
Context window
Cohere: Command R7B (12-2024)128k
Doubao Pro 1.5128k
BenchmarkCohere: Command R7B (12-2024)Doubao Pro 1.5Advantage Delta
Preference Elo—
1,470
lmarena · Aug 17, 2026
—
Coding Elo—
1,465
lmarena · Aug 17, 2026
—
LiveBench—
64%
livebench · Aug 17, 2026
—
SWE-bench—
62.1%
swebench · Aug 17, 2026
—
GPQA Diamond—
77.5%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
190 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
105 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.038/1M
openrouter · Aug 17, 2026
$0.11/1M
seed-bootstrap · Aug 1, 2026
+$0.073/1M
Output price
$0.15/1M
openrouter · Aug 17, 2026
$0.28/1M
seed-bootstrap · Aug 1, 2026
+$0.13/1M
Context window
128k
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
—

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 56% 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
Doubao Pro 1.5$8.05 / mo
In: $3.85Out: $4.2
Estimated Cost Delta

Cohere: Command R7B (12-2024) is estimated to save $4.49/month ($54/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.

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 RAGCohere: Command R7B (12-2024)

Larger window (128k).

Screenshots / visionDoubao Pro 1.5

Doubao Pro 1.5 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 RAGCohere: Command R7B (12-2024)Larger window (128k).
Screenshots / visionDoubao Pro 1.5Doubao Pro 1.5 is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Cohere

Cohere: Command R7B (12-2024)

Elo n/a
SWE-bench—
Speed (tok/s)128k
Input / 1M Tokens$0.038/1M
Output / 1M Tokens$0.15/1M
ByteDance

Doubao Pro 1.5

Elo 1,470
SWE-bench62.1%
Speed (tok/s)105 tok/s
Input / 1M Tokens$0.11/1M
Output / 1M Tokens$0.28/1M

Frequently Asked Questions

Which is better overall, Cohere: Command R7B (12-2024) or Doubao Pro 1.5?
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 Doubao Pro 1.5?
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 $0.28/1M. Input prices and retry rates still move the real bill.
Which is faster, Cohere: Command R7B (12-2024) or Doubao Pro 1.5?
We do not have TTFT for both models.
Which has the larger context window?
Cohere: Command R7B (12-2024) accepts 128k 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 Doubao Pro 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Cohere: Command R7B (12-2024) matchups →|All Doubao Pro 1.5 matchups →
Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)Command A vs Doubao Pro 1.5Seed 2.1 Turbo vs Doubao Pro 1.5Claude Opus 4.5 vs Doubao Pro 1.5Claude Opus 4.6 vs Doubao Pro 1.5Claude Sonnet 4.5 vs Doubao Pro 1.5