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OpenAIMistral AILLM matchup

GPT-6 Solvs.Mistral Medium 3.5

Which one is better?

GPT-6 Sol performs better than Mistral Medium 3.5, but costs 1.3 times as much.

GPT-6 Sol ahead
IntelligenceOverall index, 100 points = average
110.5

GPT-6 Sol

Rank 13

46.8

Mistral Medium 3.5

Rank 88

Mistral Medium 3.5 faster
SpeedTokens per second
111

GPT-6 Sol

144

Mistral Medium 3.5

Mistral Medium 3.5 cheaper
Price$ per 1M tokens
$4

GPT-6 Sol

$3

Mistral Medium 3.5

GPT-6 Sol more popular
Popularity0 to 100
73

GPT-6 Sol

Rank 3 of 785

37

Mistral Medium 3.5

Rank 344 of 785

Above 272,000 tokens of context, GPT-6 Sol costs more: $4 input and $15 output per 1M tokens.

Choose GPT-6 Sol for

ReasoningKnowledgeCodingFinanceMathematicsMultimodalGeneralHealthAgentsLegal

Choose Mistral Medium 3.5 for

No clear advantage

Where is the difference?

Strengths at a glance

GPT-6 SolMistral Medium 3.5Median of all ranked models

7512525CodingGPT-6 SolReasoningGPT-6 SolMathematicsGPT-6 SolKnowledgeGPT-6 SolAgentsGPT-6 SolGeneralGPT-6 SolMultimodalGPT-6 SolFinanceGPT-6 SolLegalGPT-6 SolHealthGPT-6 Sol
CodingGPT-6 Sol ahead
GPT-6 Sol114.9Rank 11
Mistral Medium 3.551.2Rank 92
Median of ranked models84.1

95 % range: GPT-6 Sol 112.2 to 117.6, Mistral Medium 3.5 44.5 to 58.0.

AreaGPT-6 SolMistral Medium 3.5

The same values and verdicts as the bars below. In the close-up the net starts at 25 points, just below the weaker model's lowest value; the reference group average is 100.

GPT-6 Sol is ahead in 10 of 10 areas, Mistral Medium 3.5 in none.

GPT-6 Sol ahead: 10

Areas in the overall index
ReasoningGPT-6 Sol +79114.1 to 34.6
KnowledgeGPT-6 Sol +69109.8 to 40.4
CodingGPT-6 Sol +64114.9 to 51.2
MathematicsGPT-6 Sol +61117.5 to 57.0
MultimodalGPT-6 Sol +57106.9 to 49.7
GeneralGPT-6 Sol +56113.0 to 57.0
AgentsGPT-6 Sol +53107.2 to 54.0
Specialist fields
FinanceGPT-6 Sol +63101.3 to 38.7
HealthGPT-6 Sol +55104.8 to 50.1
LegalGPT-6 Sol +53104.8 to 51.9

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Show 4 more areas that do not count toward the overall index
Cybersecurityonly GPT-6 Sol has a score
Searchonly GPT-6 Sol has a score
Productivityonly GPT-6 Sol has a score
Educationonly Mistral Medium 3.5 has a score

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Which model for which task?

Everyday tasks, translated from the area values above. Each row names the values it rests on.

Writing and debugging codeGPT-6 SolCoding 114.9 to 51.2
Maths and data analysisGPT-6 SolMathematics 117.5 to 57.0, Reasoning 114.1 to 34.6
Facts and researchGPT-6 SolKnowledge 109.8 to 40.4, Search without a score for Mistral Medium 3.5
Agents and workflowsGPT-6 SolAgents 107.2 to 54.0
Fast chat repliesMistral Medium 3.5111 to 144 tokens per second
Security analysisopenCybersecurity without a score for Mistral Medium 3.5
Many requests on a small budgetMistral Medium 3.5$4 to $3 per 1M tokens
Finance, legal and medical textsGPT-6 SolFinance 101.3 to 38.7, Legal 104.8 to 51.9, Health 104.8 to 50.1
Images, screenshots and PDFsGPT-6 SolMultimodal 106.9 to 49.7

See for yourself: same task, one attempt

The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.

Pelican on a bicycle

Prompt

Generate an SVG of a pelican riding a bicycle

Task origin: Simon Willison

GPT-6 Sol

GPT-6 Sol: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 1, 2026 · 80 s · $0.04

Test details
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
openai/gpt-6-sol
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
4,389 tokens
Cost of the attempt
$0.0439
Response time
80.5 s
API model reported in response
openai/gpt-6-sol
Pinned endpoint
OpenAI | openai/gpt-6-sol-20260922
Temperature
Provider default
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

Mistral Medium 3.5

Mistral Medium 3.5: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 1, 2026 · 39 s · $0.06

Test details
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
mistralai/mistral-medium-3-5
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
8,128 tokens
Cost of the attempt
$0.0610
Response time
38.7 s
API model reported in response
mistralai/mistral-medium-3-5
Pinned endpoint
Mistral | mistralai/mistral-medium-3.5-20260430
Temperature
Provider default
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

Earlier attempts (1)

  • Sep 7, 2026API request failedReasoning setting: high
SVG short test

SVG short test

One SVG task with the same fixed settings for every model, without hidden thinking.

Prompt

Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.

GPT-6 Sol

Unavailable in this round

Mistral Medium 3.5

Mistral Medium 3.5: SVG short test

Oct 14, 2026 · $0.0039

Test details
Test run
Oct 14, 2026
Provider
mistral
API model
mistralai/mistral-medium-3-5
Output
502 tokens
Reasoning
API reports 0 reasoning tokens
Cost of the attempt
$0.0039
Test round
43b8c5c46830

GPT-6 Sol and Mistral Medium 3.5 in the overall index

Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.

Overall index (Gradually Meta-Score v4)

20 of 92 models

5 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.

Claude Opus 5.5max126.1
Gemini 4 Carbonhigh125.8
Claude Fable 5.1max123.8
Claude Sonnet 5.5max122.8
Gemini 4 Argonhigh122.3
GPT-6 Astramax121.3
GPT-6.1 Solmax119.2
Muse Wonder Fullmax118.3
Claude Opus 5max117.2
Muse Wondermax113.4
Kimi K3.1 Promax112.9
Claude Fable 5max112.5
GPT-6 Solmax110.5
GPT-5.6 Solmax108.7
Muse Spark 1.3max107.4
Gemini 3.7 Flashhigh107.1
DeepSeek V4.1 Flash 1017max106.6
Gemini 3.8 Flashhigh106.5
GPT-6.1 Terramax105.3
Mistral Medium 3.5high46.8

Popularity compared

How often the models are searched for, used and mentioned, on a scale from 0 to 100.

GPT-6 Sol is more popular than Mistral Medium 3.5: 73 to 37 out of 100.

Over time

Weekly values from October 18, 2026 to November 7, 2026

GPT-6 SolMistral Medium 3.5

All data side by side

The better value is bold. For the overall index only when the gap is clear.

MetricGPT-6 SolMistral Medium 3.5
Intelligence
Overall indexpoints, 100 = reference group average, higher is better110.546.8
RankRank 13 of 92Rank 88 of 92
Price per 1M tokens
Inputwhat you send$2above 272,000 tokens: $4$1.50
Outputwhat the model writes$10above 272,000 tokens: $15$7.50
Cost per task (own tests)average of 3 original-protocol tasks both models passed (SVG short test not included)$0.044$0.087
Speed
Tokens per second111144
Popularity
Popularitysearch, usage and mentions, 0 to 10073Rank 3 of 78537Rank 344 of 785
Technical
Context windowhow much text the model reads at once1.05 M tokens≈ 1,580 A4 pages262,144 tokens≈ 390 A4 pages
Knowledge cutoffApr 20, 2026n/a
ReleasedSep 22, 2026Apr 28, 2026
AvailabilityActiveActive
Open weightsnoyes

Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis

Is there a better choice?

Successor of GPT-6 SolGPT-6.1 Sol

Overall index 119.2, rank 7$2 input and $10 output per 1M tokens

Mistral Medium 3.5 vs. GPT-6.1 Sol
Cheaper than Mistral Medium 3.5Muse Spark 1.3

Overall index 107.4, rank 15$1.25 input and $4.25 output per 1M tokens

GPT-6 Sol vs. Muse Spark 1.3
Best model in the overall indexClaude Opus 5.5

Overall index 126.1, rank 1$4 input and $20 output per 1M tokens

GPT-6 Sol vs. Claude Opus 5.5

Shared benchmarks

Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.

A: GPT-6 SolB: Mistral Medium 3.5

Code MigrationOverall · higher is betterTest setup not documented as identicalGPT-6 Sol: 57.2%Mistral Medium 3.5: 5.1%Vals AIAs of 10/29/2026
EMBOverall · higher is betterTest setup not documented as identicalGPT-6 Sol: 71.5%Mistral Medium 3.5: 11.2%Vals AIAs of 10/20/2026
Finance Agent (v2)Overall · higher is betterTest setup not documented as identicalGPT-6 Sol: 49.1%Mistral Medium 3.5: 32.1%Vals AIAs of 10/29/2026
Legal Research BenchOverall · All-pass · higher is betterTest setup not documented as identicalGPT-6 Sol: 28.8%Mistral Medium 3.5: 9.1%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevOverall · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,678Mistral Medium 3.5: 1,264LMArenaAs of 10/28/2026
LMArena Text, Style ControlOverall · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,458Mistral Medium 3.5: 1,426LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOverall · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,266Mistral Medium 3.5: 1,200LMArenaAs of 10/19/2026
MedCodeOverall · higher is betterTest setup not documented as identicalGPT-6 Sol: 47.1%Mistral Medium 3.5: 33.8%Vals AIAs of 10/29/2026
MedScribeOverall · higher is betterTest setup not documented as identicalGPT-6 Sol: 82.0%Mistral Medium 3.5: 67.7%Vals AIAs of 10/29/2026
ProofBench v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Sol: 83%Mistral Medium 3.5: 9%Vals AIAs of 10/29/2026
Show 54 more benchmarks
Tax Agent BenchOverall · higher is betterTest setup not documented as identicalGPT-6 Sol: 15.0%Mistral Medium 3.5: 4.5%Vals AIAs of 11/05/2026
Vibe Code Bench v1.1Overall · higher is betterTest setup not documented as identicalGPT-6 Sol: 87.8%Mistral Medium 3.5: 2.9%Vals AIAs of 11/05/2026
Code MigrationCLI · higher is betterTest setup not documented as identicalGPT-6 Sol: 52.9%Mistral Medium 3.5: 5.0%Vals AIAs of 10/29/2026
EMBComps · higher is betterTest setup not documented as identicalGPT-6 Sol: 73.3%Mistral Medium 3.5: 18.1%Vals AIAs of 10/20/2026
Finance Agent (v2)Adjustments · higher is betterTest setup not documented as identicalGPT-6 Sol: 43.2%Mistral Medium 3.5: 27.3%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · All-pass · higher is betterTest setup not documented as identicalGPT-6 Sol: 39.4%Mistral Medium 3.5: 7.6%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevHTML development · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,680Mistral Medium 3.5: 1,308LMArenaAs of 10/28/2026
LMArena Text, Style ControlBusiness, management and finance · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,448Mistral Medium 3.5: 1,431LMArenaAs of 10/28/2026
LMArena Vision, Style ControlCreative writing with images · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,252Mistral Medium 3.5: 1,195LMArenaAs of 10/19/2026
Tax Agent BenchControversy & Precedence Analysis · higher is betterTest setup not documented as identicalGPT-6 Sol: 6.7%Mistral Medium 3.5: 3.3%Vals AIAs of 11/05/2026
Code MigrationCOBOL · higher is betterTest setup not documented as identicalGPT-6 Sol: 70.0%Mistral Medium 3.5: 5.5%Vals AIAs of 10/29/2026
EMBDataroom · higher is betterTest setup not documented as identicalGPT-6 Sol: 83.9%Mistral Medium 3.5: 13.4%Vals AIAs of 10/20/2026
Finance Agent (v2)All-Pass · higher is betterTest setup not documented as identicalGPT-6 Sol: 36.0%Mistral Medium 3.5: 21.6%Vals AIAs of 10/29/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Sol: 80.5%Mistral Medium 3.5: 67.5%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevReact development · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,680Mistral Medium 3.5: 1,254LMArenaAs of 10/28/2026
LMArena Text, Style ControlChinese · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,485Mistral Medium 3.5: 1,448LMArenaAs of 10/28/2026
LMArena Vision, Style ControlDiagram understanding · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,303Mistral Medium 3.5: 1,242LMArenaAs of 10/19/2026
Tax Agent BenchControversy & Precedence Analysis (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Sol: 50.7%Mistral Medium 3.5: 18.4%Vals AIAs of 11/05/2026
Code MigrationCode Quality · higher is betterTest setup not documented as identicalGPT-6 Sol: 4.375 / 5Mistral Medium 3.5: 2.987 / 5Vals AIAs of 10/29/2026
EMBDCF · higher is betterTest setup not documented as identicalGPT-6 Sol: 63.1%Mistral Medium 3.5: 2.2%Vals AIAs of 10/20/2026
Finance Agent (v2)Comparables · higher is betterTest setup not documented as identicalGPT-6 Sol: 40.8%Mistral Medium 3.5: 31.5%Vals AIAs of 10/29/2026
Legal Research BenchBusiness & Commercial · All-pass · higher is betterTest setup not documented as identicalGPT-6 Sol: 27.9%Mistral Medium 3.5: 9.3%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevWeb development · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,678Mistral Medium 3.5: 1,264LMArenaAs of 10/28/2026
LMArena Text, Style ControlCoding · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,519Mistral Medium 3.5: 1,477LMArenaAs of 10/28/2026
LMArena Vision, Style ControlEnglish · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,255Mistral Medium 3.5: 1,216LMArenaAs of 10/19/2026
Tax Agent BenchCurrent & Temporal Analysis · higher is betterTest setup not documented as identicalGPT-6 Sol: 23.2%Mistral Medium 3.5: 6.5%Vals AIAs of 11/05/2026
EMBLBO · higher is betterTest setup not documented as identicalGPT-6 Sol: 59.4%Mistral Medium 3.5: 9.6%Vals AIAs of 10/20/2026
Finance Agent (v2)Disclosure Analysis · higher is betterTest setup not documented as identicalGPT-6 Sol: 55.6%Mistral Medium 3.5: 40.2%Vals AIAs of 10/29/2026
Legal Research BenchBusiness & Commercial · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Sol: 80.4%Mistral Medium 3.5: 71.3%Vals AIAs of 11/05/2026
LMArena Text, Style ControlCreative writing · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,435Mistral Medium 3.5: 1,400LMArenaAs of 10/28/2026
LMArena Vision, Style ControlHomework · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,306Mistral Medium 3.5: 1,217LMArenaAs of 10/19/2026
Tax Agent BenchCurrent & Temporal Analysis (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Sol: 56.1%Mistral Medium 3.5: 29.4%Vals AIAs of 11/05/2026
EMBM&A · higher is betterTest setup not documented as identicalGPT-6 Sol: 83.0%Mistral Medium 3.5: 10.7%Vals AIAs of 10/20/2026
Finance Agent (v2)Earnings Analysis · higher is betterTest setup not documented as identicalGPT-6 Sol: 72.4%Mistral Medium 3.5: 42.1%Vals AIAs of 10/29/2026
Legal Research BenchCivil Litigation · All-pass · higher is betterTest setup not documented as identicalGPT-6 Sol: 18.5%Mistral Medium 3.5: 11.1%Vals AIAs of 11/05/2026
LMArena Text, Style ControlEnglish · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,459Mistral Medium 3.5: 1,444LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOptical character recognition · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,285Mistral Medium 3.5: 1,215LMArenaAs of 10/19/2026
Tax Agent BenchFact-Pattern Analysis · higher is betterTest setup not documented as identicalGPT-6 Sol: 16.3%Mistral Medium 3.5: 2.3%Vals AIAs of 11/05/2026
EMBMisc · higher is betterTest setup not documented as identicalGPT-6 Sol: 65.0%Mistral Medium 3.5: 14.1%Vals AIAs of 10/20/2026
Finance Agent (v2)Financial Modeling · higher is betterTest setup not documented as identicalGPT-6 Sol: 19.3%Mistral Medium 3.5: 5.1%Vals AIAs of 10/29/2026
Legal Research BenchCivil Litigation · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Sol: 78%Mistral Medium 3.5: 66%Vals AIAs of 11/05/2026
LMArena Text, Style ControlEntertainment, sports and media · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,430Mistral Medium 3.5: 1,396LMArenaAs of 10/28/2026
Tax Agent BenchFact-Pattern Analysis (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Sol: 49.9%Mistral Medium 3.5: 24.4%Vals AIAs of 11/05/2026
EMBOperating · higher is betterTest setup not documented as identicalGPT-6 Sol: 72.9%Mistral Medium 3.5: 10.2%Vals AIAs of 10/20/2026
Finance Agent (v2)General Qualitative Analysis · higher is betterTest setup not documented as identicalGPT-6 Sol: 53.6%Mistral Medium 3.5: 47.9%Vals AIAs of 10/29/2026
Legal Research BenchConstitutional / Civil Rights · All-pass · higher is betterTest setup not documented as identicalGPT-6 Sol: 18.4%Mistral Medium 3.5: 10.5%Vals AIAs of 11/05/2026
LMArena Text, Style ControlExcluding ties · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,463Mistral Medium 3.5: 1,420LMArenaAs of 10/28/2026
Tax Agent BenchForms & Filings · higher is betterTest setup not documented as identicalGPT-6 Sol: 0%Mistral Medium 3.5: 0%Vals AIAs of 11/05/2026
EMBScratch · higher is betterTest setup not documented as identicalGPT-6 Sol: 69.5%Mistral Medium 3.5: 15.0%Vals AIAs of 10/20/2026
Finance Agent (v2)General Quantitative Analysis · higher is betterTest setup not documented as identicalGPT-6 Sol: 70.0%Mistral Medium 3.5: 44.8%Vals AIAs of 10/29/2026
Legal Research BenchConstitutional / Civil Rights · Weighted partial credit (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Sol: 78.0%Mistral Medium 3.5: 68.2%Vals AIAs of 11/05/2026
LMArena Text, Style ControlExpert prompts · higher is betterTest setup not documented as identicalGPT-6 Sol: 1,497Mistral Medium 3.5: 1,435LMArenaAs of 10/28/2026
Tax Agent BenchForms & Filings (weighted pass) · higher is betterTest setup not documented as identicalGPT-6 Sol: 53.7%Mistral Medium 3.5: 21.3%Vals AIAs of 11/05/2026
EMBTemplate · higher is betterTest setup not documented as identicalGPT-6 Sol: 73.5%Mistral Medium 3.5: 7.4%Vals AIAs of 10/20/2026

More comparisons

Compare GPT-6 Sol and Mistral Medium 3.5 with the models people compare them with most often.

Compare another matchup

The most popular comparisons

  1. 1GPT-6 Sol vs. GPT-5.6 Sol
  2. 2GPT-6 Sol vs. DeepSeek-V4.1-Flash
  3. 3GPT-6 Sol vs. Gemini 3.8 Flash
  4. 4GPT-6 Sol vs. GPT-5.6 Terra
  5. 5GPT-6 Astra vs. GPT-6 Sol
  6. 6GPT-6 Sol vs. GLM-5.3-Flash
  7. 7Claude Sonnet 5.5 vs. GPT-6 Sol
  8. 8GPT-6 Sol vs. Gemini 3.1 Pro Preview
  9. 9Claude Opus 4.8 vs. GPT-6 Sol
Show all 42 comparisons
  1. 10GPT-6 Sol vs. GPT-5.4
  2. 11GPT-6 Sol vs. DeepSeek V4.1 Flash 1017
  3. 12GPT-6 Sol vs. Qwen 3.8 27B
  4. 13GPT-6 Sol vs. GPT-6 Luna
  5. 14GPT-6 Sol vs. Kimi K3.1 Pro
  6. 15Claude Sonnet 4.6 vs. GPT-6 Sol
  7. 16GPT-6 Sol vs. Grok 4.7
  8. 17Claude Haiku 5.5 vs. GPT-6 Sol
  9. 18Claude Opus 5.5 vs. GPT-6 Sol
  10. 19GPT-6 Sol vs. Qwen 3.8 Max 0902
  11. 20Claude Sonnet 5 vs. GPT-6 Sol
  12. 21GPT-6 Sol vs. Kimi K3
  13. 22Claude Fable 5.1 vs. GPT-6 Sol
  14. 23GPT-6 Sol vs. DeepSeek-V4-Pro
  15. 24Claude Opus 5.5 vs. Mistral Medium 3.5
  16. 25GPT-6 Sol vs. GPT-5.6 Luna
  17. 26Claude Opus 5 vs. GPT-6 Sol
  18. 27Claude Sonnet 4.5 vs. Mistral Medium 3.5
  19. 28GPT-6 Sol vs. Mistral Large 4
  20. 29DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
  21. 30GPT-6 Sol vs. Gemini 4 Argon
  22. 31GPT-6 Sol vs. Gemini 3.6 Flash
  23. 32Claude Opus 4.6 vs. GPT-6 Sol
  24. 33DeepSeek V4.1 Flash 1017 vs. Mistral Medium 3.5
  25. 34GPT-6 Sol vs. Muse Wonder
  26. 35Claude Sonnet 5.5 vs. Mistral Medium 3.5
  27. 36Claude Haiku 4.5 vs. GPT-6 Sol
  28. 37GPT-6 Sol vs. GPT-5.5
  29. 38GPT-6 Luna vs. Mistral Medium 3.5
  30. 39GLM-5.2 vs. Mistral Medium 3.5
  31. 40GPT-6.1 Terra vs. GPT-6 Sol
  32. 41Mistral Large 4 vs. Mistral Medium 3.5
  33. 42GPT-6 Sol vs. Gemini 4 Carbon