GPT-5 Pro vs Morph V3 Large
Morph V3 Large costs 63.2x less per output token than GPT-5 Pro ($1.90 vs $120.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $120.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.90
GPT-5 Pro or Morph V3 Large: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5 Pro for a larger context window (400K against 262K tokens).
No benchmark has tested both yet. GPT-5 Pro has results on WeirdML, Epoch Capabilities Index and ARC-AGI; Morph V3 Large has none yet. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
GPT-5 Pro
GPT-5 Pro takes 400K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Morph V3 Large
GPT-5 Pro $0.075, Morph V3 Large $0.0019 per turn.
List prices
At a glance
- Coding index
- GPT-5 Pro not benchmarked, Morph V3 Large not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- GPT-5 Pro $120.00 against Morph V3 Large $1.90 per million output tokens, 63.2x apart.
- Context window
- GPT-5 Pro takes 400K tokens, Morph V3 Large 262K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | GPT-5 Pro | Morph V3 Large | Leader |
|---|---|---|---|
| WeirdML | 60.4% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5 Pro | Morph V3 Large | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 150.6 | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | GPT-5 Pro | Morph V3 Large | Leader |
|---|---|---|---|
| ARC-AGI | 70.2% | Not measured | Only GPT-5 Pro measured |
| ARC-AGI-2 | 18.3% | Not measured | Only GPT-5 Pro measured |
| SimpleBench | 61.6% | Not measured | Only GPT-5 Pro measured |
| Chess puzzles | 48.0% | Not measured | Only GPT-5 Pro measured |
| Kagi LLM Benchmark | 76.8% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5 Pro | Morph V3 Large | Leader |
|---|---|---|---|
| FrontierMath, tiers 1 to 3 | 55.8% | Not measured | Only GPT-5 Pro measured |
| FrontierMath, tier 4 | 19.5% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 11 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Morph V3 Large costs less
Repository review
50K input + 3K output tokens
Morph V3 Large costs less
Agent loop
200K input + 10K output tokens
Morph V3 Large costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-5 Pro | Morph V3 Large |
|---|---|---|
| Maker | OpenAI | Morph |
| Weights | No public weights listed | No public weights listed |
| Released | October 6, 2025 | July 7, 2025 |
| Context window | 400K | 262K |
| Input $/Mtok | $15.00 | $0.90 |
| Output $/Mtok | $120.00 | $1.90 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5 Pro better than Morph V3 Large for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Pro for a larger context window (400K against 262K tokens).
Which is cheaper, GPT-5 Pro or Morph V3 Large?
GPT-5 Pro costs $15.00 per million input tokens and $120.00 per million output tokens; Morph V3 Large costs $0.90 and $1.90. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5 Pro or Morph V3 Large?
GPT-5 Pro, with 400K tokens against 262K.
Has any benchmark tested both GPT-5 Pro and Morph V3 Large?
No benchmark has tested both yet. GPT-5 Pro has results on WeirdML, Epoch Capabilities Index and ARC-AGI; Morph V3 Large has none yet. Compare them on price and context instead. Data as of October 21, 2026.