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ALLaM 34B vs Qwen Plus 0728 (thinking)

ALLaM 34B

HUMAIN

40#321
vs
Signal-by-Signal Comparison
SignalALLaM 34BDeltaQwen Plus 0728 (thinking)
Capabilities
17
-50
67
Pricing
100
+1
99
Context window size
57
-38
95
Recency
69
-3
72
Output Capacity
60
-15
75
Overall Result
1 wins
of 5
4 wins
Qwen Plus 0728 (thinking) wins 4 of 5 signals

Score History

Score History (25 data points)
ALLaM 34BQwen Plus 0728 (thinking)
ALLaM 34B

40

current score

Leader

Tied

right now

Qwen Plus 0728 (thinking)

40

current score

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

ALLaM 34B

HUMAIN

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

Qwen Plus 0728 (thinking)

Alibaba

Per request$0.001000
Daily$3.33
Monthly$100.00
Annual$1200.00

ALLaM 34B saves you $100.00/month

That's $1200.00/year compared to Qwen Plus 0728 (thinking) at your current usage level of 100K calls/month.

100% cheaper
Choose ALLaM 34B for cost optimization

ALLaM 34B pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Qwen Plus 0728 (thinking) pricing:
Input:$0.40/M tokens
Output:$1.20/M tokens
Tie
ALLaM 34B

HUMAIN

40

Composite Score

Tie
Qwen Plus 0728 (thinking)

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricALLaM 34BQwen Plus 0728 (thinking)Winner
Overall Score
40
40
--
Rank#321#319
Qwen Plus 0728 (thinking)
Quality Rank#321#319
Qwen Plus 0728 (thinking)
Adoption Rank#321#319
Qwen Plus 0728 (thinking)
Parameters34B----
Context Window4K1000K
Qwen Plus 0728 (thinking)
PricingFree$0.40/$1.20/M--
Signal Scores
Capabilities
17
67
Qwen Plus 0728 (thinking)
Pricing
100
99
ALLaM 34B
Context window size
57
95
Qwen Plus 0728 (thinking)
Recency
69
72
Qwen Plus 0728 (thinking)
Output Capacity
60
75
Qwen Plus 0728 (thinking)
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 34BEntry Level

Scores 40/100 (rank #321), placing it in the top -10% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen Plus 0728 (thinking)Entry Level

Scores 40/100 (rank #319), placing it in the top -10% 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 34B when you need:

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

Choose Qwen Plus 0728 (thinking) when you need:

  • Processing long documents or large codebases (1000K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
ALLaM 34B
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
Qwen Plus 0728 (thinking)
Input cost$0.40/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.040
Est. monthly (1M tokens/day)$24.00

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

Latency & Speed
ALLaM 34BFaster
Speed score0/100
Qwen Plus 0728 (thinking)
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 34B

Customer support chatbot

Suitable for user-facing chat with competitive response times. ALLaM 34B also offers lower per-token costs for high-volume support

ALLaM 34B

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen Plus 0728 (thinking)

Batch data extraction

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

ALLaM 34B

Creative writing & content

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

ALLaM 34B
Which Should You Choose?
Our recommendation:
ALLaM 34B

ALLaM 34B and Qwen Plus 0728 (thinking) 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.

ALLaM 34B
Recommended

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 Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityALLaM 34BQwen Plus 0728 (thinking)
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

ALLaM 34B

HUMAIN

Best Value
$0.000000
estimated monthly cost

Qwen Plus 0728 (thinking)

Alibaba

$2.16
estimated monthly cost

ALLaM 34B saves you $2.16/month

That's 100% cheaper than Qwen Plus 0728 (thinking) 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 34BQwen Plus 0728 (thinking)
Context Window4K1M
Max Output Tokens4,09632,768
Open SourceNoNo
CreatedAug 25, 2025Sep 8, 2025
Last updated: 1h ago

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