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Mercury 3 vs Beam 1.0 501B A23B

Mercury 3

Inception

40#191
vs
Beam 1.0 501B A23B

reflection

40#190
Signal-by-Signal Comparison
SignalMercury 3DeltaBeam 1.0 501B A23B
Capabilities
67
--
67
Pricing
100
+1
99
Context window size
95
0
96
Recency
100
--
100
Output Capacity
82
-14
96
Overall Result
1 wins
of 5
2 wins
Beam 1.0 501B A23B wins 2 of 5 signals

Score History

Score History (2 data points)
Mercury 3Beam 1.0 501B A23B
Mercury 3

40

current score

Leader

Tied

right now

Beam 1.0 501B A23B

40

current score

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

Mercury 3

Inception

Best Value
Per request$0.000275
Daily$0.92
Monthly$27.50
Annual$330.00

Beam 1.0 501B A23B

reflection

Per request$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

Mercury 3 saves you $52.50/month

That's $630.00/year compared to Beam 1.0 501B A23B at your current usage level of 100K calls/month.

66% cheaper
Choose Mercury 3 for cost optimization

Mercury 3 pricing:
Input:$0.10/M tokens
Output:$0.35/M tokens
Beam 1.0 501B A23B pricing:
Input:$0.30/M tokens
Output:$1.00/M tokens
Tie
Mercury 3

Inception

40

Composite Score

Tie
Beam 1.0 501B A23B

reflection

40

Composite Score

Signal-by-Signal Comparison
MetricMercury 3Beam 1.0 501B A23BWinner
Overall Score
40
40
--
Rank#191#190
Beam 1.0 501B A23B
Quality Rank#191#190
Beam 1.0 501B A23B
Adoption Rank#191#190
Beam 1.0 501B A23B
Parameters--501B--
Context Window1000K1049K
Beam 1.0 501B A23B
Pricing$0.10/$0.35/M$0.30/$1.00/M--
Signal Scores
Capabilities
67
67
Mercury 3
Pricing
100
99
Mercury 3
Context window size
95
96
Beam 1.0 501B A23B
Recency
100
100
Mercury 3
Output Capacity
82
96
Beam 1.0 501B A23B
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.

Mercury 3Entry Level

Scores 40/100 (rank #191), placing it in the top 34% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Beam 1.0 501B A23BEntry Level

Scores 40/100 (rank #190), placing it in the top 35% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Mercury 3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Beam 1.0 501B A23B when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mercury 3Best Value
Input cost$0.10/M tokens
Output cost$0.35/M tokens
Cost per quality point$0.011
Est. monthly (1M tokens/day)$6.75
Beam 1.0 501B A23B
Input cost$0.30/M tokens
Output cost$1.00/M tokens
Cost per quality point$0.033
Est. monthly (1M tokens/day)$19.50

Mercury 3 offers 65% better value per quality point. At 1M tokens/day, you'd spend $6.75/month with Mercury 3 vs $19.50/month with Beam 1.0 501B A23B - a $12.75 monthly difference.

Latency & Speed
Mercury 3Faster
Speed score0/100
Beam 1.0 501B A23B
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

Mercury 3

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mercury 3 also offers lower per-token costs for high-volume support

Mercury 3

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Beam 1.0 501B A23B

Batch data extraction

Lower output pricing ($0.35/M) reduces costs when processing thousands of records daily

Mercury 3

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Mercury 3
Which Should You Choose?
Our recommendation:
Mercury 3

Mercury 3 and Beam 1.0 501B A23B are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Mercury 3
Recommended

by Inception

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 65% 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 reflection

Consider for specialized use cases.

Capability Comparison
CapabilityMercury 3Beam 1.0 501B A23B
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mercury 3

Inception

Best Value
$0.6000
estimated monthly cost

Beam 1.0 501B A23B

reflection

$1.74
estimated monthly cost

Mercury 3 saves you $1.14/month

That's 66% cheaper than Beam 1.0 501B A23B 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
ParameterMercury 3Beam 1.0 501B A23B
Context Window1M1.0M
Max Output Tokens131,072943,718
Open SourceNoYes
CreatedOct 16, 2026Oct 16, 2026
Last updated: 54m ago

相关对比

Mercury 3 vs Beam 1.0 501B A23B (2026) | LM Market Cap