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Gemini 2.5 Pro vs GPT-5.6 Terra: pricing and benchmarks

Gemini 2.5 Pro is 38% cheaper on input tokens ($1.25 vs $2.00 per 1M). Gemini 2.5 Pro is 17% cheaper on output tokens ($10.00 vs $12.00 per 1M). On our document Q&A workload (50,000 questions a month), Gemini 2.5 Pro costs $800.00 a month versus $1,160 for GPT-5.6 Terra, 31% less. GPT-5.6 Terra scores 159.1 on the Epoch Capabilities Index vs 145.3 for Gemini 2.5 Pro.

Prices verified September 14, 2026.

Which should you choose?

Overall capability
GPT-5.6 Terra

GPT-5.6 Terra scores 159.1 on the Epoch Capabilities Index vs 145.3 for Gemini 2.5 Pro.

Advanced math
GPT-5.6 Terra

GPT-5.6 Terra scores 86.0% on FrontierMath (Tiers 1–3) vs 24.6% for Gemini 2.5 Pro.

Price
Gemini 2.5 Pro

Gemini 2.5 Pro costs $3.438 per 1M tokens (3:1 input-to-output mix) vs $4.50 for GPT-5.6 Terra, 24% less.

Best value
Too close to call

A trade-off: GPT-5.6 Terra is 13.9 ECI points more capable but costs 1.3x as much as Gemini 2.5 Pro.

Pricing and specs

Gemini 2.5 ProGPT-5.6 Terra
ProviderGoogleOpenAI
API model IDgemini-2.5-progpt-5.6-terra
Input / 1M tokens$1.25$2.00
Cached input / 1M tokens$0.125$0.20
Output / 1M tokens$10.00$12.00
Long-context rates$2.50 in / $15.00 out above 200K prompt tokens$4.00 in / $18.00 out on long-context requests
Context window1.05M tokens1.05M tokens
Max output66K tokens128K tokens
Batch discount50% off

Benchmarks

Gemini 2.5 ProGPT-5.6 Terra
Epoch Capabilities Index145.3159.1
GPQA Diamond· Science reasoning80.4%91.1%
FrontierMath (Tiers 1–3)· Advanced math24.6%86.0%
SimpleQA Verified· Factual accuracy43.2%
ARC-AGI-2· Abstract reasoning4.9%83.9%
DeepSWE· Coding69.6%
APEX-Agents· Agentic work6.6%

Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks

Monthly cost for real workloads

WorkloadGemini 2.5 ProGPT-5.6 TerraDifference
Support chatbot
100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each.
$587.50$780.00Gemini 2.5 Pro 25% cheaper
Document Q&A (RAG)
50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each.
$800.00$1,160Gemini 2.5 Pro 31% cheaper
Coding agent
10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens.
$385.00$536.00Gemini 2.5 Pro 28% cheaper

Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.

Gemini 2.5 Pro vs GPT-5.6 Terra cost calculator

Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.

Gemini 2.5 Pro pricing notes

Google’s previous-generation Pro model.

  • Prompts over 200K tokens are billed at $2.50 input / $15 output per 1M tokens.
  • Output price includes thinking tokens.
Google official pricing ↗

GPT-5.6 Terra pricing notes

The GPT-5.6 model that balances intelligence and cost.

  • Cache writes are billed at $2.50 per 1M tokens.
  • Fast mode costs 2x the standard rate; Flex costs half.
OpenAI official pricing ↗

Frequently asked questions

Is Gemini 2.5 Pro cheaper than GPT-5.6 Terra?
Gemini 2.5 Pro is 38% cheaper on input tokens ($1.25 vs $2.00 per 1M). Gemini 2.5 Pro is 17% cheaper on output tokens ($10.00 vs $12.00 per 1M). On our document Q&A workload (50,000 questions a month), Gemini 2.5 Pro costs $800.00 a month versus $1,160 for GPT-5.6 Terra, 31% less.
Which is more capable, Gemini 2.5 Pro or GPT-5.6 Terra?
GPT-5.6 Terra scores 159.1 on the Epoch Capabilities Index vs 145.3 for Gemini 2.5 Pro.
How much does Gemini 2.5 Pro cost per 1M tokens?
Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens, and $0.125 per 1M cached input tokens on Google’s standard tier.
How much does GPT-5.6 Terra cost per 1M tokens?
GPT-5.6 Terra costs $2.00 per 1M input tokens and $12.00 per 1M output tokens, and $0.20 per 1M cached input tokens on OpenAI’s standard tier.
Which has the larger context window, Gemini 2.5 Pro or GPT-5.6 Terra?
GPT-5.6 Terra has the larger context window: 1.05M tokens versus 1.05M for Gemini 2.5 Pro.

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