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ALLaM 2 7B Instruct vs ERNIE 4.5 VL 424B A47B

Signal-by-Signal Comparison
SignalALLaM 2 7B InstructDeltaERNIE 4.5 VL 424B A47B
Capabilities
17
-33
50
Pricing
100
+1
99
Context window size
57
-23
81
Recency
64
+2
61
Output Capacity
60
-10
70
Overall Result
2 wins
of 5
3 wins
ERNIE 4.5 VL 424B A47B wins 3 of 5 signals

Score History

Score History (24 data points)
ALLaM 2 7B InstructERNIE 4.5 VL 424B A47B
ALLaM 2 7B Instruct

40

current score

Leader

Tied

right now

ERNIE 4.5 VL 424B A47B

40

current score

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

ALLaM 2 7B Instruct

HUMAIN

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

ERNIE 4.5 VL 424B A47B

Baidu

Per request$0.001045
Daily$3.48
Monthly$104.50
Annual$1254.00

ALLaM 2 7B Instruct saves you $104.50/month

That's $1254.00/year compared to ERNIE 4.5 VL 424B A47B at your current usage level of 100K calls/month.

100% cheaper
Choose ALLaM 2 7B Instruct for cost optimization

ALLaM 2 7B Instruct pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
ERNIE 4.5 VL 424B A47B pricing:
Input:$0.42/M tokens
Output:$1.25/M tokens
Tie
ALLaM 2 7B Instruct

HUMAIN

40

Composite Score

Tie
ERNIE 4.5 VL 424B A47B

Baidu

40

Composite Score

Signal-by-Signal Comparison
MetricALLaM 2 7B InstructERNIE 4.5 VL 424B A47B Winner
Overall Score
40
40
--
Rank#271#273
ALLaM 2 7B Instruct
Quality Rank#271#273
ALLaM 2 7B Instruct
Adoption Rank#271#273
ALLaM 2 7B Instruct
Parameters7B424B--
Context Window4K123K
ERNIE 4.5 VL 424B A47B
PricingFree$0.42/$1.25/M--
Signal Scores
Capabilities
17
50
ERNIE 4.5 VL 424B A47B
Pricing
100
99
ALLaM 2 7B Instruct
Context window size
57
81
ERNIE 4.5 VL 424B A47B
Recency
64
61
ALLaM 2 7B Instruct
Output Capacity
60
70
ERNIE 4.5 VL 424B A47B
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.

ALLaM 2 7B InstructEntry Level

Scores 40/100 (rank #271), placing it in the top 7% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
ERNIE 4.5 VL 424B A47B Entry Level

Scores 40/100 (rank #273), placing it in the top 6% 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 ALLaM 2 7B Instruct when you need:

  • High-volume production workloads where API costs must be minimized

Choose ERNIE 4.5 VL 424B A47B when you need:

  • Processing long documents or large codebases (123K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
ALLaM 2 7B Instruct
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00
ERNIE 4.5 VL 424B A47B
Input cost$0.42/M tokens
Output cost$1.25/M tokens
Cost per quality point$0.042
Est. monthly (1M tokens/day)$25.05

Compare the cost per quality point to find the best value for your specific workload.

Latency & Speed
ALLaM 2 7B InstructFaster
Speed score0/100
ERNIE 4.5 VL 424B A47B
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

ALLaM 2 7B Instruct

Customer support chatbot

Suitable for user-facing chat with competitive response times. ALLaM 2 7B Instruct also offers lower per-token costs for high-volume support

ALLaM 2 7B Instruct

Long document analysis

Larger context window (123K tokens) can process longer documents, contracts, and research papers in a single pass

ERNIE 4.5 VL 424B A47B

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

ALLaM 2 7B Instruct

Creative writing & content

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

ALLaM 2 7B Instruct

Image understanding & OCR

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

ERNIE 4.5 VL 424B A47B
Which Should You Choose?
Our recommendation:
ALLaM 2 7B Instruct

ALLaM 2 7B Instruct and ERNIE 4.5 VL 424B A47B 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.

by HUMAIN

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 100% 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 Baidu

Consider for specialized use cases.

Capability Comparison
CapabilityALLaM 2 7B InstructERNIE 4.5 VL 424B A47B
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

ALLaM 2 7B Instruct

HUMAIN

Best Value
$0.000000
estimated monthly cost

ERNIE 4.5 VL 424B A47B

Baidu

$2.26
estimated monthly cost

ALLaM 2 7B Instruct saves you $2.26/month

That's 100% cheaper than ERNIE 4.5 VL 424B A47B 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
ParameterALLaM 2 7B InstructERNIE 4.5 VL 424B A47B
Context Window4K123K
Max Output Tokens4,09616,000
Open SourceNoYes
CreatedJul 14, 2025Jun 30, 2025
Last updated: 7m ago

相关对比

ALLaM 2 7B Instruct vs ERNIE 4.5 VL 424B A47B (2026) | LM Market Cap