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Ember-1 vs GPT-4.1 Nano

Ember-1

fireworks

40#237
vs
GPT-4.1 Nano

OpenAI

42#235
Signal-by-Signal Comparison
SignalEmber-1DeltaGPT-4.1 Nano
Capabilities
83
--
83
Pricing
85
-15
100
Context window size
96
--
96
Recency
100
+63
37
Output Capacity
96
+23
72
Benchmarks
0
-44
44
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (32 data points)
Ember-1GPT-4.1 Nano
Ember-1

40

current score

Leader

GPT-4.1 Nano

right now

GPT-4.1 Nano

42.1

current score

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

Ember-1

fireworks

Per request$0.010500
Daily$35.00
Monthly$1050.00
Annual$12600.00

GPT-4.1 Nano

OpenAI

Best Value
Per request$0.000300
Daily$1.00
Monthly$30.00
Annual$360.00

GPT-4.1 Nano saves you $1020.00/month

That's $12240.00/year compared to Ember-1 at your current usage level of 100K calls/month.

97% cheaper
Choose GPT-4.1 Nano for cost optimization

Ember-1 pricing:
Input:$3.00/M tokens
Output:$15.00/M tokens
GPT-4.1 Nano pricing:
Input:$0.10/M tokens
Output:$0.40/M tokens
Ember-1

fireworks

40

Composite Score

Winner
GPT-4.1 Nano

OpenAI

42

Composite Score

Signal-by-Signal Comparison
MetricEmber-1GPT-4.1 NanoWinner
Overall Score
40
42
GPT-4.1 Nano
Rank#237#235
GPT-4.1 Nano
Quality Rank#237#235
GPT-4.1 Nano
Adoption Rank#237#235
GPT-4.1 Nano
Parameters------
Context Window1049K1048K
Ember-1
Pricing$3.00/$15.00/M$0.10/$0.40/M--
Signal Scores
Capabilities
83
83
Ember-1
Pricing
85
100
GPT-4.1 Nano
Context window size
96
96
Ember-1
Recency
100
37
Ember-1
Output Capacity
96
72
Ember-1
Benchmarks--
44
GPT-4.1 Nano
Benchmark Head-to-Head(2 benchmarks)
Ember-1: 0GPT-4.1 Nano: 0
Ember-1
GPT-4.1 Nano
Normalized 0-100%
Arena Elo
-1322
BigCodeBench
-28.4%
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.

Ember-1Entry Level

Scores 40/100 (rank #237), placing it in the top 19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-4.1 NanoEntry Level

Scores 42/100 (rank #235), placing it in the top 19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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 Ember-1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-4.1 Nano when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Ember-1
Input cost$3.00/M tokens
Output cost$15.00/M tokens
Cost per quality point$0.450
Est. monthly (1M tokens/day)$270.00
GPT-4.1 NanoBest Value
Input cost$0.10/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$7.50

GPT-4.1 Nano offers 97% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $270.00/month with Ember-1 - a $262.50 monthly difference.

Latency & Speed
Ember-1Faster
Speed score0/100
GPT-4.1 Nano
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

Ember-1

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Nano also offers lower per-token costs for high-volume support

Ember-1

Long document analysis

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

Ember-1

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

GPT-4.1 Nano

Creative writing & content

Higher overall composite score (42/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Nano

Image understanding & OCR

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

Ember-1
Which Should You Choose?
Our recommendation:
GPT-4.1 Nano

Ember-1 and GPT-4.1 Nano are extremely close in overall performance (only 2.1000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by fireworks

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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
GPT-4.1 Nano
Recommended

by OpenAI

  • Choose for Cost - 97% lower pricing; better value at scale
Capability Comparison
CapabilityEmber-1GPT-4.1 Nano
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Ember-1

fireworks

$23.40
estimated monthly cost

GPT-4.1 Nano

OpenAI

Best Value
$0.6600
estimated monthly cost

GPT-4.1 Nano saves you $22.74/month

That's 97% cheaper than Ember-1 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
ParameterEmber-1GPT-4.1 Nano
Context Window1.0M1.0M
Max Output Tokens943,71832,768
Open SourceNoNo
CreatedSep 24, 2026Apr 14, 2025
Last updated: 32m ago

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Ember-1 vs GPT-4.1 Nano (2026) | LM Market Cap