| Signal | Llemma 7b | Delta | Qwen3 235B A22B |
|---|---|---|---|
Capabilities | 17 | -50 | |
Pricing | 99 | +1 | |
Context window size | 57 | -24 | |
Recency | 68 | -3 | |
Output Capacity | 60 | -5 | |
| Overall Result | 1 wins | of 5 | 4 wins |
Score History
40
current score
Tied
right now
40
current score
eleutherai
Alibaba
Qwen3 235B A22B saves you $3.50/month
That's $42.00/year compared to Llemma 7b at your current usage level of 100K calls/month.
| Metric | Llemma 7b | Qwen3 235B A22B | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #246 | #245 | Qwen3 235B A22B |
| Quality Rank | #246 | #245 | Qwen3 235B A22B |
| Adoption Rank | #246 | #245 | Qwen3 235B A22B |
| Parameters | 7B | 235B | -- |
| Context Window | 4K | 131K | Qwen3 235B A22B |
| Pricing | $0.80/$1.20/M | $0.45/$1.82/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 67 | Qwen3 235B A22B |
| Pricing | 99 | 98 | Llemma 7b |
| Context window size | 57 | 81 | Qwen3 235B A22B |
| Recency | 68 | 71 | Qwen3 235B A22B |
| Output Capacity | 60 | 65 | Qwen3 235B A22B |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #246), placing it in the top 16% of all 290 models tracked.
Scores 40/100 (rank #245), placing it in the top 16% 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.
Llemma 7b offers 12% better value per quality point. At 1M tokens/day, you'd spend $30.00/month with Llemma 7b vs $34.13/month with Qwen3 235B A22B - a $4.13 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. Llemma 7b also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.20/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 235B A22B 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
Llemma 7b
12% 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 235B A22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
eleutherai
Alibaba
Llemma 7b saves you $0.1230/month
That's 4% cheaper than Qwen3 235B A22B 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 235B A22B |
|---|---|---|
| Context Window | 4K | 131K |
| Max Output Tokens | 4,096 | 8,192 |
| Open Source | Yes | Yes |
| Created | Apr 14, 2025 | Apr 28, 2025 |
Both Llemma 7b and Qwen3 235B A22B score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Llemma 7b is ranked #246 and Qwen3 235B A22B is ranked #245 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.
Llemma 7b is cheaper at $1.20/M output tokens vs Qwen3 235B A22B's $1.82/M output tokens - 1.5x more expensive. Input token pricing: Llemma 7b at $0.80/M vs Qwen3 235B A22B at $0.45/M.
Qwen3 235B A22B has a larger context window of 131,072 tokens compared to Llemma 7b's 4,096 tokens. A larger context window means the model can process longer documents and conversations.