| Signal | Llemma 7b | Delta | Qwen3 14B |
|---|---|---|---|
Capabilities | 17 | -50 | |
Pricing | 99 | -1 | |
Context window size | 57 | -16 | |
Recency | 68 | -3 | |
Output Capacity | 60 | -17 | |
| Overall Result | 0 wins | of 5 | 5 wins |
Score History
40
current score
Tied
right now
40
current score
eleutherai
Alibaba
Qwen3 14B saves you $122.00/month
That's $1464.00/year compared to Llemma 7b at your current usage level of 100K calls/month.
| Metric | Llemma 7b | Qwen3 14B | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #251 | #249 | Qwen3 14B |
| Quality Rank | #251 | #249 | Qwen3 14B |
| Adoption Rank | #251 | #249 | Qwen3 14B |
| Parameters | 7B | 14B | -- |
| Context Window | 4K | 41K | Qwen3 14B |
| Pricing | $0.80/$1.20/M | $0.06/$0.24/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 67 | Qwen3 14B |
| Pricing | 99 | 100 | Qwen3 14B |
| Context window size | 57 | 73 | Qwen3 14B |
| Recency | 68 | 70 | Qwen3 14B |
| Output Capacity | 60 | 77 | Qwen3 14B |
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.
Scores 40/100 (rank #251), placing it in the top 14% of all 290 models tracked.
Scores 40/100 (rank #249), placing it in the top 14% of all 290 models tracked.
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.
Qwen3 14B offers 85% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Qwen3 14B vs $30.00/month with Llemma 7b - a $25.50 monthly difference.
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.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen3 14B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (41K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.24/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Llemma 7b and Qwen3 14B 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.
Best for Quality
Llemma 7b
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 14B
85% lower pricing; better value at scale
Best for Reliability
Llemma 7b
Higher uptime and faster response speeds
Best for Prototyping
Llemma 7b
Stronger community support and better developer experience
Best for Production
Llemma 7b
Wider enterprise adoption and proven at scale
by eleutherai
| Capability | Llemma 7b | Qwen3 14B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
eleutherai
Alibaba
Qwen3 14B saves you $2.48/month
That's 86% cheaper than Llemma 7b 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.
| Parameter | Llemma 7b | Qwen3 14B |
|---|---|---|
| Context Window | 4K | 41K |
| Max Output Tokens | 4,096 | 40,960 |
| Open Source | Yes | Yes |
| Created | Apr 14, 2025 | Apr 28, 2025 |
Both Llemma 7b and Qwen3 14B score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Llemma 7b is ranked #251 and Qwen3 14B is ranked #249 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Qwen3 14B is cheaper at $0.24/M output tokens vs Llemma 7b's $1.20/M output tokens - 5.0x more expensive. Input token pricing: Llemma 7b at $0.80/M vs Qwen3 14B at $0.06/M.
Qwen3 14B has a larger context window of 40,960 tokens compared to Llemma 7b's 4,096 tokens. A larger context window means the model can process longer documents and conversations.