LLM Comparison

GPT-6 Astra vs MiMo-V2.5-Pro: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs MiMo-V2.5-Pro comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: GPT-6 Astra ranks higher (#7 vs #51) and wins 4 of 4 shared benchmarks.

Rank #7 vs #51AskClash overall scores 71.3 vs 36.0.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Xiaomi.

GPT-6 Astra vs MiMo-V2.5-Pro benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGPT-6 AstraMiMo-V2.5-Pro
Overall Score71.336.0
Leaderboard Rank#7#51
ACB64.5—
RWT9.5—
Coding Agent Index67.0—
HLE57.248.0
GPQA96.066.7
IFEval—79.9
SWE-bench—78.9
SWE-Pro—57.2
SWE-Atlas61.8—
Terminal-Bench59.1—
DeepSWE73.2—
GDPval-AA1629.31123.5
Finance Agent53.541.5
MMMU-Pro87.0—
ARC-AGI 295.0—
Tau2—94.2
MRCR100.0—
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1.05M1M
Benchmarks Published148

GPT-6 Astra vs MiMo-V2.5-Pro head-to-head charts

GPT-6 Astra leads 5 and MiMo-V2.5-Pro leads 0 of 5 shared benchmarks. Charts show only benchmarks both models publish.

GPT-6 AstraMiMo-V2.5-Pro
Overall
71.3GPT-6 Astra
36.0MiMo-V2.5-Pro
HLE
57.2GPT-6 Astra
48.0MiMo-V2.5-Pro
GPQA
96.0GPT-6 Astra
66.7MiMo-V2.5-Pro
GDPval-AA
1629.3GPT-6 Astra
1123.5MiMo-V2.5-Pro
Finance Agent
53.5GPT-6 Astra
41.5MiMo-V2.5-Pro
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
MiMo-V2.5-Pro
Input—
Output—
Workload—
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-6 Astra and MiMo-V2.5-Pro comparisons

Explore how GPT-6 Astra and MiMo-V2.5-Pro stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.