CompareLLM
CompareLLM.ai
Live
Explore
Compare
Decide
Track
Learn
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. MythoMax 13B vs OpenAI o1-mini

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

MythoMax 13B vs OpenAI o1-mini benchmark

In this head-to-head showdown, MythoMax 13B is more budget-friendly at $0.06/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both MythoMax 13B and OpenAI o1-mini present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
Share Analysis:Share:
WhatsAppTelegramXLinkedIn
Executive Verdict Summary

MythoMax 13B holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
OpenAI o1-miniTop code solve rate
ReasoningGPQA / Live
OpenAI o1-miniTop logical accuracy
Best Value$/1M Tok
MythoMax 13BLowest API billing cost
Speed / TokTok/Sec
OpenAI o1-miniFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

MythoMax 13B (2)OpenAI o1-mini (1)
MythoMax 13B
2 of 3 Wins
✓Input price✓Output price
OpenAI o1-mini
1 of 3 Wins
✓Context window
gryphe
Leads 2 of 3
MythoMax 13B

Auto-discovered from OpenRouter (gryphe/mythomax-l2-13b). Preview until a second source matches.

In: $0.06 · Out: $0.06/1M
OpenAI
Leads 1 of 3
OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445In: $1.1 · Out: $4.4/1M
Top Rival Showdowns for MythoMax 13B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMythoMax 13B Wins

MythoMax 13B

$0.06 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

MythoMax 13B (2)vsOpenAI o1-mini (8)
MythoMax 13B: 2W (20%)Overall: OpenAI o1-miniOpenAI o1-mini: 8W (80%)
← MythoMax 13BOpenAI o1-mini →
🏆OpenAI o1-mini Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
MythoMax 13BvsOpenAI o1-mini
Preference Elo
—vs1,445
Coding Elo
—vs1,468
SWE-bench
—vs56.4%
LiveBench
—vs62%
GPQA Diamond
—vs76.8%
MythoMax 13B: 0WOpenAI o1-mini: 5W
🏆OpenAI o1-mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
MythoMax 13BvsOpenAI o1-mini
Output speed
—vs85 tok/s
Time to first token
—vs280 ms
MythoMax 13B: 0WOpenAI o1-mini: 2W
🏆MythoMax 13B Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
MythoMax 13BvsOpenAI o1-mini
Output price
$0.06/1Mvs$4.4/1M+$4.34/1M
Input price
$0.06/1Mvs$1.1/1M+$1.04/1M
Context window
8kvs128k+120k
MythoMax 13B: 2WOpenAI o1-mini: 1W

Side-by-Side Benchmark Matrix

MythoMax 13BOpenAI o1-mini
Preference Elo
MythoMax 13B—
OpenAI o1-mini1,445
Coding Elo
MythoMax 13B—
OpenAI o1-mini1,468
LiveBench
MythoMax 13B—
OpenAI o1-mini62%
SWE-bench
MythoMax 13B—
OpenAI o1-mini56.4%
GPQA Diamond
MythoMax 13B—
OpenAI o1-mini76.8%
Time to first token
MythoMax 13B—
OpenAI o1-mini280 ms
Output speed
MythoMax 13B—
OpenAI o1-mini85 tok/s
Input priceMythoMax 13B +$1.04/1M
MythoMax 13B$0.06/1M
OpenAI o1-mini$1.1/1M
Output priceMythoMax 13B +$4.34/1M
MythoMax 13B$0.06/1M
OpenAI o1-mini$4.4/1M
Context windowOpenAI o1-mini +120k
MythoMax 13B8k
OpenAI o1-mini128k
BenchmarkMythoMax 13BOpenAI o1-miniAdvantage Delta
Preference Elo—
1,445
lmarena · Aug 17, 2026
—
Coding Elo—
1,468
lmarena · Aug 17, 2026
—
LiveBench—
62%
livebench · Aug 17, 2026
—
SWE-bench—
56.4%
swebench · Aug 17, 2026
—
GPQA Diamond—
76.8%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
280 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
85 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.06/1M
openrouter · Aug 17, 2026
$1.1/1M
seed-bootstrap · Aug 1, 2026
+$1.04/1M
Output price
$0.06/1M
openrouter · Aug 17, 2026
$4.4/1M
seed-bootstrap · Aug 1, 2026
+$4.34/1M
Context window
8k
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
+120k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 97% with MythoMax 13B
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
MythoMax 13B$3.00 / mo
In: $2.1Out: $0.9
OpenAI o1-mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

MythoMax 13B is estimated to save $101.50/month ($1,218/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    MythoMax 13B:Pick MythoMax 13B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMythoMax 13B

Lower output list price ($0.06/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI o1-mini

Larger window (128k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMythoMax 13BLower output list price ($0.06/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGOpenAI o1-miniLarger window (128k).
Screenshots / visionOpenAI o1-miniOpenAI o1-mini is the side marked multimodal in the catalog.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/mythomax-l2-13b-vs-o1-mini/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
gryphe

MythoMax 13B

Elo n/a
SWE-bench—
Speed (tok/s)8k
Input / 1M Tokens$0.06/1M
Output / 1M Tokens$0.06/1M
OpenAI

OpenAI o1-mini

Elo 1,445
SWE-bench56.4%
Speed (tok/s)85 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M

Frequently Asked Questions

Which is better overall, MythoMax 13B or OpenAI o1-mini?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, MythoMax 13B or OpenAI o1-mini?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
MythoMax 13B output tokens are $0.06/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, MythoMax 13B or OpenAI o1-mini?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI o1-mini accepts 128k tokens versus 8k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. MythoMax 13B and OpenAI o1-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All MythoMax 13B matchups →|All OpenAI o1-mini matchups →
OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI: o3 Mini (next gpt-mini)GPT-5 vs OpenAI o1-miniGPT-4.5 Orion vs OpenAI o1-miniGPT-5.6 Sol vs OpenAI o1-miniGPT-5.6 Terra vs OpenAI o1-mini