Codex vs. Mistral Vibe
Comparison between Codex and Mistral Vibe across the Artificial Analysis Coding Agent Index, including benchmark scores, cost, execution time, and token usage.
For details relating to our methodology, see our methodology page.
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Comparison
Side-by-side comparison of Codex and Mistral Vibe.
Coding Agent Comparison
Metric |  CodexGPT-6 Astra (Max) |  Mistral VibeMistral Large 4 (High) | Analysis |
|---|---|---|---|
Agent Harness | Codex | Mistral Vibe | |
Representative Model | GPT-6 Astra (Max) | Mistral Large 4 (High) | |
Coding Agent Index | 55 | 48 | Codex has a higher Coding Agent Index than Mistral Vibe |
FrontierCode v1.1 | 49% | 45% | Codex has a higher FrontierCode v1.1 score than Mistral Vibe |
Terminal-Bench 4.0 | 56% | 41% | Codex has a higher Terminal-Bench 4.0 score than Mistral Vibe |
SWE-Atlas-QnA-AA | 59% | 59% | Codex has a higher SWE-Atlas-QnA-AA score than Mistral Vibe |
Cost per Task | $7.04 | $1.26 | Mistral Vibe has a lower cost per task than Codex |
Time per Task | 24.8m | 48.4m | Codex has a lower time per task than Mistral Vibe |
Turns per Task | 39.4 | 100.1 | Codex has a lower turns per task than Mistral Vibe |
Token Usage per Task | 3.2M | 8.5M | Codex has a lower token usage per task than Mistral Vibe |
Cache Hit Rate | 93% | 91% | Codex has a higher cache hit rate than Mistral Vibe |
Model Variants
Evaluated model variants for Codex and Mistral Vibe.
Model Variants
| Codex | GPT-6 Astra (Max) | 55 | 49% | 56% | 59% | $7.04 | 24.8m | 3.2M |
| Codex | GPT-6.1 Sol (Max) | 54 | 49% | 53% | 60% | $1.50 | 23.7m | 3.9M |
| Codex | GPT-6.1 Terra (Xhigh) | 48 | 45% | 46% | 54% | $0.69 | 16.4m | 6.9M |
| Codex | GPT-6.1 Terra (Max) | 48 | 42% | 48% | 54% | $1.24 | 26.1m | 12.3M |
| Codex |  DeepSeek V4.1 Flash (Max) | 47 | 53% | 28% | 61% | $0.39 | 38.1m | 27.2M |
| Codex | GPT-6.1 Terra (High) | 46 | 43% | 42% | 53% | $0.54 | 12.7m | 5.6M |
| Codex | GPT-6.1 Terra (Medium) | 42 | 44% | 35% | 47% | $0.39 | 10.2m | 4.1M |
| Codex | GPT-6.1 Terra (Non-reasoning) | 39 | 46% | 25% | 46% | $0.45 | 9.5m | 5.8M |
| Codex | GPT-6.1 Terra (Low) | 35 | 41% | 25% | 39% | $0.20 | 6.3m | 1.9M |
| Codex | GPT-6 Luna (Max) | 31 | 40% | 16% | 38% | $0.16 | 21.3m | 8.9M |
| Mistral Vibe | Mistral Large 4 (High) | 48 | 45% | 41% | 59% | $1.26 | 48.4m | 8.5M |
| Mistral Vibe | Mistral Large 4 (Medium) | 35 | 35% | 26% | 45% | $0.78 | 38.8m | 5.8M |
Performance
Performance across the Artificial Analysis Coding Agent Index.
Artificial Analysis Coding Agent Index
Artificial Analysis Coding Agent Index v2.0 incorporates 3 benchmarks: FrontierCode v1.1, Terminal-Bench 4.0, and SWE-Atlas-QnA-AA · Higher is better
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Artificial Analysis Coding Agent Index vs. Cost per Task
Artificial Analysis Coding Agent Index vs. average pay-per-token API cost per task (USD)
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Most attractive quadrant
Pareto line
Token Usage
Token consumption across the Artificial Analysis Coding Agent Index.
Token Usage per Task
Average input, cache, and output tokens per task
Prompt cache hit rates can vary significantly by provider routing, which can materially change effective cost.
Artificial Analysis Coding Agent Index vs. Total Tokens
Artificial Analysis Coding Agent Index vs. average total tokens per task
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Cost
Pay-per-token API cost across the Artificial Analysis Coding Agent Index, based on current per-token pricing.
Cost per Task
Average pay-per-token API cost per task (USD) · Lower is better
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Execution Time
Active agent runtime across the Artificial Analysis Coding Agent Index.
Time per Task
Average agent wall time per task · Lower is better
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Artificial Analysis Coding Agent Index vs. Execution Time
Artificial Analysis Coding Agent Index vs. average agent wall time per task
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Most attractive quadrant