THE SCOREBOARD FOR WHAT'S NEXTAI + QUANTUM, SCORED. COMPARED. EXPLAINED.
AIQUANTUMSCORE.

HEAD TO HEAD

Make the
right call.

Pick two to four models. Compare category evidence, price, context, speed and capabilities side by side.

01 / SCORECARD

Coding focus · side by side

Metricgpt-5-miniGPT-6 Sol
Quantum ScoreInsufficient verified data0% coverage52QUANTUM SCORE
Confidence / coverageLimited evidence · 0% · 0 independent domainsModerate confidence · 85% · 4 independent domains
Context window— tokens1,050,000 tokens
Modalities / tools · text, image · tool use, vision
CodingNo data47
ReasoningNo data67
MathNo data79
REVAL™
ⓘREVAL™ Research Evaluation Index — our proprietary 0–100 benchmark measuring real-world AI research performance. Methodology →
Not testedNot tested
AgentsNo data20
MultimodalNo data62
SpeedNot measuredNot measured
ValueNo data39
Input / 1M$0.25$2.00
Output / 1M$2.00$10.00
Measured output speedNot measuredNot measured

THE DECISION

What this comparison means

Quality for your coding focus

There isn’t enough current, independent evidence with matching test settings across all selected models to choose a leader for coding. Try another focus or a smaller selection, and review the sourced results below.

Different benchmarks test different tasks. Effort levels are shown because they can affect results and cost. Verification dates indicate when we checked a source; they are not necessarily evaluation dates.

Your estimated monthly API cost

Enter usage in millions of tokens. Estimates use the listed standard input and output prices in USD.

gpt-5-mini

$6.50

Lowest estimated cost among these models

Pricing source ↗ · verified 2026-10-01

Price scope

Provider Standard API price; capabilities and release date have not been inferred.

GPT-6 Sol

$40.00

Pricing source ↗ · verified 2026-10-01

Price scope

Standard short-context token rate; long-context and service tiers differ

This estimates API token charges. Subscription plans, caching, batch discounts, tools, taxes, and differences in tokens used per task can change the bill. Cost alone does not establish equivalent quality.

Tradeoffs and evidence gaps

gpt-5-mini ↗

Listed capabilities: none verified yet.

Independent benchmark records cover no categories yet. Coverage does not guarantee comparable tests for every selected model.

Review capabilities, dates, and source records →

GPT-6 Sol ↗

Listed capabilities: tool use, vision.

Independent benchmark records cover reasoning, coding, agents, math, multimodal. Coverage does not guarantee comparable tests for every selected model.

Review capabilities, dates, and source records →

How we assess scores and missing evidence →

Keep this comparison

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02 / EVIDENCE

Published benchmark evidence

Benchmarkgpt-5-miniGPT-6 Sol

AS THE EVIDENCE CHANGED

Comparison history

Dated releases, price events, and benchmark publications. A price or test change can alter the factual comparison; this timeline does not pick a winner.

2026-10-01 · gpt-5-mini now listed in official pricing ↗ · source

2026-10-01 · GPT-6 Sol recorded coding score changed ↗ · source

2026-09-22 · GPT-6 Sol and Luna added to the API ↗ · source

2026-10-01 verified (test date not published) · gpt-6-sol entered LiveBench code_completion (2026-06-25) at 80.435 % · source ↗

2026-10-01 verified (test date not published) · gpt-6-sol entered LiveBench code_generation (2026-06-25) at 83.099 % · source ↗

2026-10-01 verified (test date not published) · gpt-6-sol entered LiveBench javascript (2026-06-25) at 63.636 % · source ↗

2026-10-01 verified (test date not published) · gpt-6-sol entered LiveBench AMPS_Hard (2026-06-25) at 98 % · source ↗

2026-10-01 verified (test date not published) · gpt-6-sol entered LiveBench olympiad (2026-06-25) at 91.365 % · source ↗

2026-10-01 verified (test date not published) · gpt-6-sol entered LiveBench theory_of_mind (2026-06-25) at 84.615 % · source ↗

2026-10-01 verified (test date not published) · gpt-6-sol entered LiveBench zebra_puzzle (2026-06-25) at 100 % · source ↗

2026-10-01 verified (test date not published) · gpt-6-sol entered Terminal-Bench 4.0 Vals mini-SWE-agent avg@3 fallbacks failed (4.0) at 44.444 % · source ↗

2026-09-30 verified (test date not published) · gpt-6-sol entered MMMU-Pro Mercor public leaderboard (MMMU-Pro Mercor public set) at 83 % · source ↗

2026-09-30 verified (test date not published) · gpt-6-sol entered MedXpertQA MM Mercor public leaderboard (MedXpertQA MM Mercor 200 public tasks) at 81.3 % · source ↗

2026-09-30 verified (test date not published) · gpt-6-sol entered MedXpertQA MM Mercor 51 held-out tasks (MedXpertQA MM Mercor Extended 51 held-out tasks) at 68 % · source ↗

2026-09-29 · gpt-6-sol entered ARC-AGI-3 Semi-Private Standard harness best effort (3 Semi-Private) at 4.6236 % · source ↗

An overall score appears only after enough current, comparable, independently sourced results exist. Pricing and individual benchmark results remain visible meanwhile.