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Gemini 4 Hydrogen vs GPT-6.1 Sol

Gemini 4 Hydrogen

Google

40#149
vs
GPT-6.1 Sol

OpenAI

40#199
Signal-by-Signal Comparison
SignalGemini 4 HydrogenDeltaGPT-6.1 Sol
Capabilities
100
--
100
Pricing
93
+3
90
Context window size
96
0
96
Recency
100
--
100
Output Capacity
96
+14
82
Overall Result
2 wins
of 5
1 wins
Gemini 4 Hydrogen wins 2 of 5 signals

Score History

Score History (7 data points)
Gemini 4 HydrogenGPT-6.1 Sol
Gemini 4 Hydrogen

40

current score

Leader

Tied

right now

GPT-6.1 Sol

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemini 4 Hydrogen

Google

Best Value
Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00

GPT-6.1 Sol

OpenAI

Per request$0.007000
Daily$23.33
Monthly$700.00
Annual$8400.00

Gemini 4 Hydrogen saves you $175.00/month

That's $2100.00/year compared to GPT-6.1 Sol at your current usage level of 100K calls/month.

25% cheaper
Choose Gemini 4 Hydrogen for cost optimization

Gemini 4 Hydrogen pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
GPT-6.1 Sol pricing:
Input:$2.00/M tokens
Output:$10.00/M tokens
Tie
Gemini 4 Hydrogen

Google

40

Composite Score

Tie
GPT-6.1 Sol

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 4 HydrogenGPT-6.1 SolWinner
Overall Score
40
40
--
Rank#149#199
Gemini 4 Hydrogen
Quality Rank#149#199
Gemini 4 Hydrogen
Adoption Rank#149#199
Gemini 4 Hydrogen
Parameters------
Context Window1049K1050K
GPT-6.1 Sol
Pricing$1.50/$7.50/M$2.00/$10.00/M--
Signal Scores
Capabilities
100
100
Gemini 4 Hydrogen
Pricing
93
90
Gemini 4 Hydrogen
Context window size
96
96
GPT-6.1 Sol
Recency
100
100
Gemini 4 Hydrogen
Output Capacity
96
82
Gemini 4 Hydrogen
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemini 4 HydrogenEntry Level

Scores 40/100 (rank #149), placing it in the top 49% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-6.1 SolEntry Level

Scores 40/100 (rank #199), placing it in the top 32% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Gemini 4 Hydrogen when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-6.1 Sol when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 4 HydrogenBest Value
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.225
Est. monthly (1M tokens/day)$135.00
GPT-6.1 Sol
Input cost$2.00/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.300
Est. monthly (1M tokens/day)$180.00

Gemini 4 Hydrogen offers 25% better value per quality point. At 1M tokens/day, you'd spend $135.00/month with Gemini 4 Hydrogen vs $180.00/month with GPT-6.1 Sol - a $45.00 monthly difference.

Latency & Speed
Gemini 4 HydrogenFaster
Speed score0/100
GPT-6.1 Sol
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemini 4 Hydrogen

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 4 Hydrogen also offers lower per-token costs for high-volume support

Gemini 4 Hydrogen

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-6.1 Sol

Batch data extraction

Lower output pricing ($7.50/M) reduces costs when processing thousands of records daily

Gemini 4 Hydrogen

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Gemini 4 Hydrogen

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 4 Hydrogen
Which Should You Choose?
Our recommendation:
Gemini 4 Hydrogen

Gemini 4 Hydrogen and GPT-6.1 Sol are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 25% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 4 HydrogenGPT-6.1 Sol
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 4 Hydrogen

Google

Best Value
$11.70
estimated monthly cost

GPT-6.1 Sol

OpenAI

$15.60
estimated monthly cost

Gemini 4 Hydrogen saves you $3.90/month

That's 25% cheaper than GPT-6.1 Sol at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 4 HydrogenGPT-6.1 Sol
Context Window1.0M1.1M
Max Output Tokens943,718128,000
Open SourceNoNo
CreatedNov 12, 2026Sep 29, 2026
Last updated: 19m ago

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Gemini 4 Hydrogen vs GPT-6.1 Sol (2026) | LM Market Cap