Model comparison

GPT-6.1 Sol vs Mistral Medium

Mistral Medium has enough public results to be ranked (#211); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

GPT-6.1 Sol OpenAI

42.1

Unranked Sparse

Mistral Medium Mistral AI

36.0

Rank #211 Confirmed

Summary

  • The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 33.8.
  • Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 262K.
  • Mistral Medium has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and Mistral Medium specifications
GPT-6.1 SolMistral Medium
ProviderOpenAIMistral AI
Noometry Index42.136.0
Released2026-09-292023-12-11
WeightsProprietaryOpen
Context window1.05M262K
Max output128K262K
Input $ / M tokens$2$1.50
Output $ / M tokens$10$7.50
Results tracked236

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 51.4, Mistral Medium: 33.8 (#241)

Coding benchmarks
BenchmarkGPT-6.1 SolMistral Medium
DeepSWE75.2%—
FrontierCode—8%
SciCode—40.2%
WeirdML—43.7%
LMArena Coding—1434
ALE-Bench—763.98

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 34.3, Mistral Medium: 28.1 (#84)

Agentic & Tool Use benchmarks
BenchmarkGPT-6.1 SolMistral Medium
Berkeley Function Calling Leaderboard—37.7%
GDP.pdf32%—

Reasoning Not comparable

GPT-6.1 Sol: —, Mistral Medium: 23.3 (#165)

Reasoning benchmarks
BenchmarkGPT-6.1 SolMistral Medium
Kagi LLM Benchmark—50%
CritPt—0%
LMArena Hard Prompts—1426
DTBench—75.5%
LMCA—26.1%
Surface Evolver Bench—26.9%

Math Not comparable

GPT-6.1 Sol: —, Mistral Medium: 27.2 (#238)

Math benchmarks
BenchmarkGPT-6.1 SolMistral Medium
OTIS Mock AIME 2024-2025—32.2%
ProofBench—9%
LMArena Math—1409
MATH Level 5—81.6%
FrontierMath (Feb 2025 set)—0.3%

Knowledge Not comparable

GPT-6.1 Sol: —, Mistral Medium: 24.9 (#260)

Knowledge benchmarks
BenchmarkGPT-6.1 SolMistral Medium
GPQA Diamond—59.5%
Humanity's Last Exam—4.5%
Vectara Hallucination Rate—22.7%
LMArena Expert—1408

Multimodal Not comparable

GPT-6.1 Sol: —, Mistral Medium: 34.6 (#82)

Multimodal benchmarks
BenchmarkGPT-6.1 SolMistral Medium
LMArena Vision—1172

Multilingual Not comparable

GPT-6.1 Sol: —, Mistral Medium: 52.3 (#86)

Multilingual benchmarks
BenchmarkGPT-6.1 SolMistral Medium
LMArena Non-English—1408
LMArena Chinese—1448
LMArena French—1460
LMArena German—1433
LMArena Japanese—1378
LMArena Korean—1382
LMArena Russian—1411
LMArena Spanish—1433

Instruction Following Not comparable

GPT-6.1 Sol: —, Mistral Medium: 73.9 (#111)

Instruction Following benchmarks
BenchmarkGPT-6.1 SolMistral Medium
LMArena Instruction Following—1398

Long Context Not comparable

GPT-6.1 Sol: —, Mistral Medium: 42.9 (#108)

Long Context benchmarks
BenchmarkGPT-6.1 SolMistral Medium
LMArena Longer Query—1406

Writing & Preference Not comparable

GPT-6.1 Sol: —, Mistral Medium: 60.2 (#97)

Writing & Preference benchmarks
BenchmarkGPT-6.1 SolMistral Medium
LMArena Text—1424
LMArena Creative Writing—1391
Short-Story Creative Writing—77.3%
LMArena Multi-Turn—1418

Frequently asked questions

Is GPT-6.1 Sol better than Mistral Medium?

Mistral Medium has enough public results to be ranked (#211); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, GPT-6.1 Sol or Mistral Medium?

Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Mistral Medium better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 262K.

How many benchmarks do GPT-6.1 Sol and Mistral Medium share?

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Mistral Medium has 36.

Related comparisons

Go deeper