| Signal | Mixtral 8x22B Instruct | Delta | GLM 4.5 Air (free) |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 71 | +8 | |
Pricing | 94 | -6 | |
Context window size | 76 | -5 | |
Recency | 2 | -84 | |
Output Capacity | 20 | -63 | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
63.4
current score
Mixtral 8x22B Instruct
right now
63.3
current score
Mistral AI
Zhipu AI
GLM 4.5 Air (free) saves you $500.00/month
That's $6000.00/year compared to Mixtral 8x22B Instruct at your current usage level of 100K calls/month.
| Metric | Mixtral 8x22B Instruct | GLM 4.5 Air (free) | Winner |
|---|---|---|---|
| Overall Score | 63 | 63 | Mixtral 8x22B Instruct |
| Rank | #122 | #123 | Mixtral 8x22B Instruct |
| Quality Rank | #122 | #123 | Mixtral 8x22B Instruct |
| Adoption Rank | #122 | #123 | Mixtral 8x22B Instruct |
| Parameters | 22B | -- | -- |
| Context Window | 66K | 131K | GLM 4.5 Air (free) |
| Pricing | $2.00/$6.00/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Mixtral 8x22B Instruct |
| Benchmarks | 71 | 63 | Mixtral 8x22B Instruct |
| Pricing | 94 | 100 | GLM 4.5 Air (free) |
| Context window size | 76 | 81 | GLM 4.5 Air (free) |
| Recency | 2 | 86 | GLM 4.5 Air (free) |
| Output Capacity | 20 | 83 | GLM 4.5 Air (free) |
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 63/100 (rank #122), placing it in the top 58% of all 290 models tracked.
Scores 63/100 (rank #123), placing it in the top 58% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. GLM 4.5 Air (free) 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 ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (63/100) correlates with better nuance, coherence, and style in long-form content
Mixtral 8x22B Instruct and GLM 4.5 Air (free) are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Mixtral 8x22B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 4.5 Air (free)
100% lower pricing; better value at scale
Best for Reliability
Mixtral 8x22B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Mixtral 8x22B Instruct
Stronger community support and better developer experience
Best for Production
Mixtral 8x22B Instruct
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mixtral 8x22B Instruct | GLM 4.5 Air (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
Zhipu AI
GLM 4.5 Air (free) saves you $10.80/month
That's 100% cheaper than Mixtral 8x22B Instruct 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 | Mixtral 8x22B Instruct | GLM 4.5 Air (free) |
|---|---|---|
| Context Window | 66K | 131K |
| Max Output Tokens | -- | 96,000 |
| Open Source | Yes | Yes |
| Created | Apr 17, 2024 | Jul 25, 2025 |
Mixtral 8x22B Instruct scores 63/100 (rank #122) compared to GLM 4.5 Air (free)'s 63/100 (rank #123), giving it a 0-point advantage. Mixtral 8x22B Instruct is the stronger overall choice, though GLM 4.5 Air (free) may excel in specific areas like cost efficiency.
Mixtral 8x22B Instruct is ranked #122 and GLM 4.5 Air (free) is ranked #123 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.
GLM 4.5 Air (free) is cheaper at $0.00/M output tokens vs Mixtral 8x22B Instruct's $6.00/M output tokens - 6000.0x more expensive. Input token pricing: Mixtral 8x22B Instruct at $2.00/M vs GLM 4.5 Air (free) at $0.00/M.
GLM 4.5 Air (free) has a larger context window of 131,072 tokens compared to Mixtral 8x22B Instruct's 65,536 tokens. A larger context window means the model can process longer documents and conversations.